214 results about "Adaptive control algorithm" patented technology

Certain embodiments of the present invention provide systems and method for automatic inference and adaptation of a virtualized computer environment. Certain embodiments of a system include a virtual topology and traffic inference framework tool adapted to monitor traffic for an application on a virtual network to produce a view of network demands for the application. The system also includes a monitoring tool adapted to monitor performance of an underlying physical network associated with the virtual network using traffic for the application. Further, the system includes an adaptation component adapted to automatically adapt the application to the virtual network based on the measured application traffic, the monitored network performance, and one or more adaptation control algorithms.

An intelligent gain controller operates to control the gain in each one of wideband uplink and downlink signal paths. Weak desired signals, within each wideband signal path, are detected using a narrowband down converter and detector, and these desired signals monitored by the micro controller. Based on the monitored signals, the micro controller operates, under control of suitable software implementing an Adaptive Control Algorithm, to adjust the gain in each of the uplink and downlink paths in order to dynamically optimize performance.

A system operates to adaptively control the stability of an on-frequency repeater. A unique signature is imposed on RF signals transmitted by the repeater, and RF signals received by the repeater analyzed to detect signal components corresponding to the signature. The signature and the detected signal components are correlated by a micro-controller, which operates in accordance with an Adaptive Control Algorithm to adjust the ERP of RF signals transmitted by the repeater to limit signal leakage and thereby control the stability of the repeater.

The present invention generally relates to methods for the rapid thermal processing (RTP) of a substrate. Embodiments of the invention include controlling a thermal process using either a real-time adaptive control algorithm or by using a control algorithm that is selected from a suite of fixed control algorithms designed for a variety of substrate types. Selection of the control algorithm is based on optical properties of the substrate measured during the thermal process. In one embodiment, a combination of control algorithms are used, wherein the majority of lamp groupings are controlled with a fixed control algorithm and a substantially smaller number of lamp zones are controlled by an adaptive control algorithm.

A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.

The invention relates to a method for transmitting mobile phone network signals. An automatic bandwidth module is used for detecting current available bandwidth and transmiting the result to an adaptive control algorithm module which calculates layer bitstream of layered and coded original data to be transmitted; the layered coding adopts H2.64 / AVC and a real-time transmission module is used for packaging the layer bitsteam to be transmitted into message to be sent to a client. The adaptive control algorithm in the method can predict data amount of certain layer needed by the client and reasonably arrange an opportunity to sending data continuously to ensure sufficient buffer before playing and avoid effect caused by insufficient bandwidth. The method calculates data needing sending by current bandwidth when the status of the current network is not stable or the network speed is low continuously to meet watching requirements of users, minimize the effect of website bandwidth, make most of bandwidth and provide best steam media quality for users.

A system and method include receiving an external reference signal and generating first temperature control commands to maintain a constant ambient temperature for a crystal oscillator using a first temperature control system. The method further includes generating second temperature control commands for a second temperature control system to establish a desired ambient temperature for the crystal oscillator according to a temperature training profile. While at least one of the first and second temperature control systems operates to change an ambient temperature, the method includes extracting a clock from the external reference signal, generating a correction signal to further generate a corrected oscillation based on a difference between the extracted clock and the crystal oscillator and training an adaptive control algorithm based on the correction signal in relation to a determined crystal oscillator response to temperature variations caused by the second temperature control system.

The invention discloses an SVC selected harmonic number prediction elimination control method and the devices for implementing thereof. The invention predicts the harmonic numbers of 2, 5, 7, 11 and 13 of the SVC system by adopting an adaptive control algorithm which is based on fuzzy prediction; the prediction result is used for modifying the PWM output, which is controlled by load current feedforward, of an injection-typed active filter HAPF; the HAPF outputs the harmonic current which is identical to the SVC selected harmonic time current and has reverse phase, thus reaching the objects of harmonic filtering, improving the dynamic performance of the device and improving the stability of the system. The invention implements the optimum control to power network reactive and power factor, provides a plurality of dynamic reactive storage for the power system, has an important effect in stabilizing the voltage of the generatrix and compensating the reactive power of the distribution network, and effectively improves the transmission capacity of the power system.

The invention discloses a feed-forward active noise barrier, which comprises a passive noise barrier and a single-channel feed-forward active control system array. Each single-channel feed-forward active control system forming the array comprises a reference microphone, an error microphone, a secondary sound source and a single-channel controller. The secondary sound sources are arranged on the top of the passive noise barrier. The reference microphones are positioned on one side of a noise source and close to the top of the barrier. The error microphone is positioned on one side of an observation point and close to the top of the barrier. The controller of each single-channel feed-forward active control system is used for controlling the output of the corresponding secondary sound source so as to minimize a square value of sound pressure amplitude at the position of the corresponding error microphone, and adopts a feed-forward single-channel adaptive control algorithm. Each single-channel control system is compact, has low cost and is easy to implement. The problems of high implementing difficulty and high cost when a multi-channel control system is used are solved. Compared with the conventional feedback active noise barrier, the feed-forward active noise barrier has high system stability and a good control effect and does not have a water bed effect due to the adoption of the feed-forward control systems.

The invention relates to an adaptive optimal butt joint trajectory tracking flying control method for an air refueling receiving machine. The method comprises a receiver model calculation module, an uncertainty interference neural network identifier module, a tracking trajectory generation module, a state estimation module, an adaptive updating law module, an adaptive control law module and an optimal control law module and further comprises a signal acquisition sensor, an arithmetic unit for calculation and a storage. A projection operator performs adaptive updating and estimation on control parameters of an adaptive system, adaptive updating and estimation are performed on parameters of an adaptive control algorithm at the next moment, and accordingly, zero generalized errors and accurate butt joint of the receiver and a refueling tapered sleeve are achieved.

The present invention generally relates to methods for the rapid thermal processing (RTP) of a substrate. Embodiments of the invention include controlling a thermal process using either a real-time adaptive control algorithm or by using a control algorithm that is selected from a suite of fixed control algorithms designed for a variety of substrate types. Selection of the control algorithm is based on optical properties of the substrate measured during the thermal process. In one embodiment, a combination of control algorithms are used, wherein the majority of lamp groupings are controlled with a fixed control algorithm and a substantially smaller number of lamp zones are controlled by an adaptive control algorithm.

The invention discloses a self-adaptive control algorithm of a pointer of a stepper motor type motormeter. According to the self-adaptive control algorithm, firstly, a subdivision control table of the sine regular change of coil current of a stepper motor is designed according to a minimum subdivision granularity demand employed by the motormeter, and the subdivision control to a bottom stepper motor is realized by adjusting the index step pitch of the control table; for the scheduling control of the pointer, scheduling periods are divided in a variable-length time slot mode so as to carry out control of different time on the pointer; and the rotation mode of the pointer within a single scheduling period is designed into four stage, i.e., acceleration starting, constant velocity operation, deceleration stop and inertia termination. By designing the rotation angel speed control, the pointer position updating, the coil current adjusting step pitch, the operation scheduling period time length, the starting acceleration, the stop deceleration and the inertia termination, the stable start and stop of each pointer of the motormeter are realized, the rapid response to rapidly changed information and the smooth reflection of the slowly changed information are realized, and the pointer can be started rapidly and stopped stably and has no vibration during low velocity operation.

The invention discloses an adaptive automatic carrier landing guide control system of a fixed-wing unmanned carrier-based aircraft. The adaptive automatic carrier landing guide control device comprises a carrier landing instruction and glide reference track generating module, a guide law module and an adaptive flight control module. The carrier landing instruction and glide reference track generating module is used for generating three-dimensional reference glide track signals, speed instruction signals and side slide instruction signals, outputting the three-dimensional glide reference track signals to the guide law module and outputting the speed instruction signals to the adaptive flight control module; the guide law module is used for generating a pitch angle instruction and a roll angle instruction which are two guidance instructions and outputting the two guidance instructions to the adaptive flight control module; the adaptive flight control module is used for generating flight control signals for the unmanned carrier-based aircraft by the aid of multivariable model reference adaptive control algorithms. The adaptive automatic carrier landing guide control system has the advantages that the unmanned carrier-based aircraft can precisely trace glide reference tracks by the aid of the adaptive automatic carrier landing guide control system, and accordingly carrier landing tasks can be successfully accomplished.

A delay mismatched feed forward power amplifier is disclosed. Loop 1 includes a main amplifier and is used to derive a carrier cancelled sample of the main amplifier output. Loop 2 includes an error amplifier used to amplify the carrier cancelled signal derived from Loop 1 operation in order to cancel distortion products generated due to the nonlinear nature of the main amplifier. Loop 2 also utilizes a very short Loop 2 delay line. A significant efficiency gain is provided due to reduced output power losses associated with the Loop 2 delay line. Lower output losses also results in lower distortion levels produced by the main amplifier. This, in turn, reduces the size and performance requirements placed on the error amplifier. A smaller and more efficient error amplifier is employed resulting in further amplifier system efficiency improvement. The delay mismatch is compensated by a third control loop, a special adaptive control algorithm or a combination thereof.

The invention discloses a ship-borne unmanned aerial vehicle automatic ship landing control device based on model reference adaptive control, and belongs to the technical field of control of spacecraft instrumentation. The device comprises a ship landing command and gliding reference track generating module and a model reference adaptive flight control module, wherein the ship landing command and gliding reference track generating module is used for generating a three-dimensional gliding reference track signal and a speed command signal according to information of relative positions and absolute positions of a ship and a ship-borne unmanned aerial vehicle; and the model reference adaptive flight control module generates a flight control signal of the ship-borne unmanned aerial vehicle by a model reference adaptive control algorithm, so that an actual flight track and speed tracking ship landing command of the ship-borne unmanned aerial vehicle is the same as a three-dimensional gliding reference track signal and speed command generated by the gliding reference track generating module. The ship-borne unmanned aerial vehicle automatic ship landing control device based on model reference adaptive control is suitable for ship-borne manned aerial vehicles with fixed rings and ship-borne unmanned aerial vehicles with fixed rings. Compared with the prior art, the ship-borne unmanned aerial vehicle automatic ship landing control device based on model reference adaptive control does not need computation of a leading law; and ship landing is controlled accurately, a control system is simple, and control instantaneity is good.

The invention provides a rapid thermostat self-adaption control method and system. The temperature control parameter can be set by controlling the temperature inside a thermostat through an automatic temperature control method, the optimal temperature control parameter can be selected through an algorithm, a core control module conducts temperature control deciding and parameter setting according to the target control temperature, the actual external temperature and the actual internal temperature which are set through a keyboard, the actual temperature which is detected through a temperature detection module inside the thermostat is unceasingly fed back and controlled, it is ensured that the steady state error of the temperature inside the thermostat meets the requirement, the control accuracy and the control stability of the temperature inside the thermostat can be easily improved, and the self-adaption control algorithm can be easily and subsequently improved without changing the hardware structure of the thermostat system.

The invention discloses a polarization laser beam generation method based on a liquid crystal variable phase delayer. The liquid crystal variable phase delayer with an electric flexible control function is used as a core component, polarization state output control and adjustment are conducted on a laser signal through the liquid crystal variable phase delayer without a moving component, the supply voltage value of the liquid crystal variable phase delayer is changed through a self-adaptation control algorithm, so that the phase retardation is changed, hence, self-adaptation control over the polarization state of the incident laser signal can be realized, and finally high-precision and high-stability polarization state output of a laser light source is guaranteed. The method can be used for generating laser beams with any polarization state, the polarization laser beams can be generated through a closed-loop control technology, and the laser beams generated through the method have a high-precision and high-stability polarization state. The method solves the problem that a laser communication system based on polarization modulation has a demanding requirement on the precision and stability of the polarization state of the laser light source.

The invention relates to a generator wide area damping control method based on a model-free adaptive control algorithm and belongs to the electric power system stabilization analysis technology field. The method comprises steps that control parameters of a traditional generating wide area damping control method are acquired according to a traditional transfer function expression and a parameter calculating formula; control parameter initial values of the generator wide area damping adaptive control method is calculated according to the acquired control parameters of the traditional generating wide area damping control method, an acquired pseudo gradient vector initial value is taken as an initial point, and an estimated value of a pseudo gradient vector is updated online by utilizing input output data actually measured by a controlled system; a generator wide area damping adaptive control signal is calculated according to the estimated value of the pseudo gradient vector which is updated online; repeated calculation is carried out till the generator wide area damping control signals reach to a maximum level. The method can guarantee a control effect of generator wide area damping control under multiple operation states of the system.

The invention discloses an adaptive cruise system with stability active control and an adaptive cruise control method with stability active control, and relates to the technical field of automobile control. The adaptive cruise system comprises a road information and navigation module, a millimeter wave radar module, a road surface adhesion coefficient estimation module, a minimum safe vehicle following distance module, a curve highest vehicle-speed calculation module, an ESC module and a vehicle-speed adaptive control algorithm module. At the same time, the invention relates to a control method based on the adaptive cruise system with stability active control. When the vehicle drives in a curve, the adaptive cruise control should not only meet the longitudinal tracking performance of the vehicle, but also consider the active control of lateral stability as one of the influencing factors of speed control so as to minimize the passive control of an ESC system on stability, improve the safety of steering driving and reduce energy consumption. Based on vehicle dynamics, the control method takes into account the axle load transfer and road surface adhesion state when the vehicle entersthe curve and provides theoretical calculation basis for the calculation of the minimum safe distance and safe speed during driving in the curve and following the vehicle.

The invention discloses a two-wheeled longitudinal self-balancing robot and a control system. The two-wheeled longitudinal self-balancing robot comprises a head part, a body part, a tail part, an electric control box, a front wheel steering mechanism, a front wheel mounting mechanism, a front wheel, a rear wheel mounting mechanism and a rear wheel. The control system for the two-wheeled longitudinal self-balancing robot comprises a master control unit, a dual gyro balancing component, a steering engine drive unit, a rear wheel drive unit, a man-machine interaction unit, an information detection unit and a power supply unit. According to the robot disclosed by the invention, self-balancing is realized based on a dual flywheel gyro effect principle, the control system of the robot adopts an adaptive control algorithm, and the model is gradually close to an actual condition by virtue of on-line identification, so that the two-wheeled longitudinal self-balancing robot can automatically restore to a stable state when stressed by lateral impact force to a certain degree, can be kept in a stable state while bearing an asymmetrical load to a certain degree, can realize automatic obstacle avoidance while meeting an obvious obstacle, and has the advantages of fast response, high corrective moment, low energy consumption and small noise.

The invention discloses a self-adaptive control method of a sliding formwork of a micro gyroscope based on a T-S fuzzy model. The T-S fuzzy model of the micro gyroscope is established based on a nonlinear model of the micro gyroscope, a global uncertain system model of the micro gyroscope is obtained through single-point fuzzification, product ratiocination and central equal-weighted defuzzification, a controller is designed based on an uncertain system variable structure control theory, and the a model trajectory of the global uncertain system model is made to trace a reference model trajectory. Due to the fact that an interference upper bound and a parameter uncertain item are unknown, estimators are designed respectively. A self-adaptive control algorithm is designed based on Lyapunov theory to guarantee the global asymptotic stability of the system. Under the situation that the parameter uncertain item and interference exist in the T-S fuzzy model of the micro gyroscope, the self-adaptive control method of the sliding formwork of the micro gyroscope based on the T-S fuzzy model can carry out accurate trajectory tracing control on a nonlinear controlled object, and the global asymptotic stability of trajectory control errors and parameter estimation errors can be guaranteed, the self-adaptive control of the sliding formwork can improve the robustness of the parameter variation by the system and compensate manufacturing errors, and due to the fact that a control scheme acts on the nonlinear model simultaneously, the effectiveness of the control scheme on the nonlinear model is verified.

A system and a method are configured to generate a sound wave field around a listening position in a room in which a loudspeaker array of K ‰¥ 1 groups of loudspeakers, with each group of loudspeakers having at least one loudspeaker, is disposed around a listening position, and a microphone array of M ‰¥ 1 groups of microphones, with each group of microphones having at least one microphone, is disposed at the listening position. The system and a method include equalizing filtering with controllable transfer functions in signal paths upstream of the K groups of loudspeakers and downstream of an input signal path, and controlling with equalization control signals of the controllable transfer functions for equalizing filtering according to an adaptive control algorithm based on error signals from the K groups of microphones and an input signal on the input signal path. At least one of the K groups of loudspeakers is operated at a distance of less than 0.5 meters from the listening position.

The invention relates to a robust adaptive autopilot control algorithm for a navigation simulator. Aiming at various ship models in navigation simulator training, a nonlinear mathematic model for ship motion is obtained based on half theoretical calculation and half experimental result, and the nonlinear mathematic model considers the interferences of wind, wave, current, and the like and relates to a low-speed shallow-water model. The designed autopilot algorithm is based on a closed-loop gain shaping simple robust control algorithm and is a new ship autopilot robust adaptive control algorithm having robustness and adaptability by combining a neurotic network direct controlling training method. The robust adaptive autopilot control algorithm has adaptability by considering the robustness of a ship motion control algorithm as well as the complexity of ship navigation and solves the problem that the prior algorithm has either robustness or adaptability and can not have both.

The invention provides a vehicle control method, a device and equipment. The method comprises the steps: obtaining a reference track of a target vehicle, the feature information of the target vehicleat a current track point, and a kinetic model; according to the reference trajectory, the feature information and the kinetic model, determining a first control quantity of a target trajectory point using a model prediction controller, wherein the target trajectory point is the next trajectory point of the current trajectory point; determining a second control quantity of the target track point byusing a feedforward algorithm according to the feature information; according to the reference trajectory and the kinetic model, determining a third control quantity of the target trajectory point byusing a model reference adaptive control algorithm; and determining the target control quantity of the target track point according to the first control quantity, the second control quantity and thethird control quantity. In the embodiment of the invention, the robustness of vehicle control is effectively improved by adopting a mode of an MMC + FF + MRAC algorithm, so that the vehicle can stillquickly and stably track the reference trajectory under a special working condition.

The invention belongs to the technical field of vibration noise control, and particularly relates to ship pipeline vibration noise control and a pipeline system three-way active / passive vibration absorbing ring. According to the technical scheme, the pipeline system three-way active / passive vibration absorbing ring comprises a ring-shaped clamp (1) and six single-degree-of-freedom active / passive dynamic vibration absorbers (2). The pipeline system three-way active / passive vibration absorbing ring provided by the invention adopts an active vibration suppression mode and a passive vibration suppression mode; in the active vibration suppression mode, a vibration signal detected by a sensor in a pipeline structure is utilized, the coil current of the six single-degree-of-freedom active / passive dynamic vibration absorbers on the ring-shaped clamp is controlled by adopting a self-adaptive control algorithm, the output force which is opposite to the pipeline line-spectrum vibration phase and equivalent to the pipeline line-spectrum vibration amplitude is generated by utilizing the electromagnetic induction principle, thereby offsetting the pipeline line-spectrum vibration and achieving active vibration suppression; and in the passive vibration suppression mode, a diaphragm spring being moderate in rigidity is mounted for adjustment of the own rigidity of each six single-degree-of-freedom active / passive dynamic vibration absorber, thereby achieving the optimal suppression performance of the pipeline system three-way active / passive vibration absorbing ring on one line spectrum.

The invention discloses a microgyroscope fuzzy self-adaptation control method based on a T-S model. The microgyroscope fuzzy self-adaptation control method based on the T-S model comprises the following steps: establishing a T-S fuzzy module based on a microgyroscope nonlinearity model, and acquiring an fuzzy dynamic system model through single point fuzzification, product reasoning and center equal-weighted defuzzification; designing a reference model based on controlling tracks, designing a local linear state feedback controller to each T-S fuzzy submodel based on a parallel distribution compensation method, and enabling the fuzzy dynamic system model tracks to track the reference model tracks; and designing a parameter estimator due to the facts that both manufacturing errors and environmental interference exist and the parameters of the T-S fuzzy model are unknown. An improved type self-adaptation control algorithm is designed based on a Lyapunov theory for enabling an overall situation of both track control errors and parameter estimating errors to be gradual and stable. The microgyroscope fuzzy self-adaptation control method based on the T-S model is applied to the microgyroscope nonlinearity model, tests and verifies feasibility and effectiveness of the microgyroscop nonlinearity model which is controlled on a microgyroscope track control module.

The invention provides a method for achieving online inhabitation of processing fluttering through intelligent control of rotation speed of a spindle, and belongs to the field of intelligent processing. The method comprises steps of step 1, when a spindle is processed at the initial rotation speed of n0, carrying out real-time monitoring on milling processing states, analyzing detection results and determining whether fluttering occurs or not; and step 2, when failing to identifying occurrence of the fluttering, keeping the original rotation speed of the spindle of a machine tool unchanged, repeating execution of the step 1, and when identifying the occurrence of the fluttering, adjusting the rotation speed of the spindle to the new spindle optimal rotation speed nnew, and carrying out fluttering inhabitation at the early stage of the occurrence of the fluttering. According to the invention, online inhibition of fluttering in milling processing is achieved through intelligent control of the rotation speed of the spindle; when the fluttering is monitored, a numerical control machine tool will adjust the rotation speed of the spindle to be the new rotation speed nnew through which stable cutting can be achieved by use of an adaptive control algorithm provided by the invention, so problems and disadvantages in a passive method for inhibiting the fluttering based on random range of the rotation speed of the spindle in a certain range in a normal cutting process are solved.

The invention discloses a device and a method for realizing model reference adaptive control on operation speed of a combine harvester and mainly relates to the field of agricultural machinery. The device is characterized by consisting of a controller, a touch screen, a sensor system, a manual / automatic selector switch and an execution system. The sensor system is used for acquiring signals of a threshing cylinder, a header auger, and a conveying trough, an input amount signal and a loss amount signal and the like of the combine harvester; the manual / automatic selector switch is used for switching between a manual state and an automatic state; the execution system consists of an amplifier, a speed control valve and an electronic control handle; and during work, the controller receives the signals acquired by the sensor system, and the operation speed of the combine harvester is adaptively controlled by a model reference adaptive control algorithm. In the control process, the running state of the combine harvest is displayed by the touch screen, and if the combine harvest is failed, an audible and visual alarm system on the touch screen can perform audible and visual alarm.