4312results about How to "Improve control" patented technology

The invention provides a method for controlling a global optimization of energy saving for a central air conditioning system based on a model, comprising a control module, a multichannel data acquisition card and control card, a refrigerating unit data collector and a controller, a humidity sensor, a temperature sensor, a flow sensor, a watt transducer, a water pump frequency converter, a fan frequency converter, an RS232/RS485 conversion module and a RS485/RS232 conversion module. The whole system can be operated under the condition of most energy saving according to an operating condition of optimized energy saving of each energy consumption device acquired by calculation of a calculation module by taking energy consumption modules of a refrigerating unit, a water pump and a fan and an ARMA air conditioning load forecasting model. The invention thoroughly concerns an influence of the operating condition of each power device in the system to the energy consumption of the whole system, takes a control strategy based on a forecasted air conditioning load, and performs an online update for the energy consumption modules of key energy consumption devices in the system, thereby greatly improving an effect of optimization of energy saving for the central air conditioning system.

Remote user interfaces for portable media devices provided improved access by accessories to media assets and metadata stored in a database of a portable media device, enhancing a user's ability to control operation of the portable media device using a remote user interface provided by the accessory. In one example, an accessory can determine whether the database of the portable media device was updated while the portable media device was disconnected from the accessory. In a second example, an accessory can create and manage a playlist for the portable media device and can incorporate into the playlist tracks already queued for playback when the accessory connects to the portable media device. In a third example, an accessory can obtain database navigation history and initialize a database navigation interface to match the database navigation history.

The invention provides a self-adaptive balance steering control method of a double-hub motor driving system. A basic control system comprises an electronic differential speed special processor, a left hub brake driving circuit, a left hub acceleration driving circuit, a left hub motor controller, a right hub brake driving circuit, a right hub acceleration driving circuit, a right hub motor controller, a left wheel rotation speed sensor, a right wheel rotation speed sensor, an inter-locking switch circuit, a vehicle body balance degree prejudging device, a front acceleration sensor, a tail acceleration sensor, a steering sensor, an acceleration pedal and a communication interface. The method has the advantage that a method for evaluating a vehicle steering safety degree is established by utilizing steering sensing information, vehicle body tilting degree information, vehicle speed and vehicle speed deviation rate, an electronic brake processing method is adopted in the field of steering control, and then the steering balance of the double-hub motor driving system can be controlled more efficiently and accurately, so the stability of the vehicle in the running process is improved.

The invention relates to a current predictive control method of a permanent magnet synchronous motor, which belongs to the electric control field. The dynamic response speed and the control accuracy for the stator current control of the permanent magnet synchronous motor are improved through stator current prediction and deadbeat control, and the system delaying is compensated, so that the noise and the torque ripple of the motor in operation are reduced. The method comprises the steps as follows: obtaining a three phase stator current signal, and the electrical angle and the electrical angular speed of the motor rotor through the technologies of sensor sampling and a photoelectric coded disc or position sensorless detection; carrying out Clarke transformation and Park transformation on the stator current signal to obtain the stator current in a synchronous revolution dq coordinate system; substituting the obtained stator current signal in the dq coordinate system into a control equation of a current predictive controller of the permanent magnet synchronous motor, carrying out deadbeat control according to the given value of the obtained stator current in the dq coordinate system in an outer ring controller to obtain a stator voltage vector in the dq coordinate system; carrying out Park inverse transformation on the obtained stator voltage vector in the dq coordinate system, to obtain a pulse-width modulation (PWM) control signal of an inverter by a space vector pulse width modulation (SVPWM) method, controlling the stator current through the inverter, and then implementing the current predictive control over the permanent magnet synchronous motor.

Implantable medical devices employing a sol-gel composition coatings that functions as a bioactive material reservoir, and the use of sol-gel composition coatings for improved adhesion of organic and inorganic substrates are disclosed.

Substrates and packages for LED-based light devices can significantly improve thermal performance and provide separate electrical and thermal paths through the substrate. One substrate includes multiple electrically insulating base layers. On a top one of these layers are disposed top-side electrical contacts, including light device pads to accommodate a plurality of light devices. External electrical contacts are disposed on an exterior surface of the substrate. Electrical paths connect the top-side electrical contacts to the external electrical contacts. At least portions of some of the electrical paths are disposed between the electrically insulating base layers. The electrical paths can be arranged such that different subsets of the light device pads are addressable independently of each other. A heat dissipation plate can be formed on the bottom surface of a bottom one of the base layers.

A computer method and apparatus for adaptive model predictive control (MPC) of multivariable processes is disclosed. The adaptive MPC system can perform automatic implementation for a new MPC controller, and, for an existing MPC controller, it can perform automatic maintenance when necessary. The adaptive MPC system consists of three modules: an MPC control module, an online identification module and a control monitor module. In MPC implementation, the online identification module and the MPC control module work together and perform various steps in MPC implementation automatically and efficiently. When the MPC controller is online, the control monitor module continuously monitors the MPC performance and model quality. When control performance becomes poor and considerable model degradation is detected, monitor module will start the maintenance by activating the online identification module. The identification module will re-identify the model and replace the old model. For strongly nonlinear process units, multiple models are identified and used in control.

The invention relates to a trajectory tracking control method and a control device for a driverless vehicle. The control method comprises that error of present driving trajectory and a reference trajectory of a vehicle is calculated by a data preprocessor, a target performance indicator function which is corresponding to the present driving model is obtained simultaneously; an upper layer controller predicts driving states of the vehicle over a period of time through a vehicle dynamics model; transition switch is conducted to function parameters according to switching control algorithm, and a performance indicator function at present sampling time is obtained; optimal controlled quantity of present time is calculated by considering performance requirement constraint conditions at the same time according to predicted driving states and the performance indicator function; a lower layer controller calculates throttle opening, braking pedal pressure and steering wheel turning angle according to the optimal controlled quantity; and the control device comprises the data preprocessor, the upper layer controller and the lower layer controller. Compared with the prior art, the trajectory tracking control method and the control device for the driverless vehicle have the advantages of being good in control effect, high in practicability, capable of improving stability and safety of vehicles and the like.

In a vehicle air conditioner, each of cool air outlets is provided at an upper side of each seat at second and third seat lines from a most front seat so that cool air from an air conditioning unit is blown from the cool air outlets toward upper sides of the seats, respectively, and each of warm air outlets is provided at a lower side of each seat at the second and third seat lines so that warm air from the air conditioning unit is blown from the warm air outlets toward lower sides of the seats, respectively. In addition, each of suction ports is provided for each corresponding seat at the second and third seat lines so that air inside a passenger compartment is sucked from the suction ports to be returned to the air conditioning unit.

A system and method for determining the stator winding resistance of AC motors is provided. The system includes an AC motor drive having an input connectable to an AC source and an output connectable to an input terminal of an AC motor, a pulse width modulation (PWM) converter having switches therein to control current flow and terminal voltages in the AC motor, and a control system connected to the PWM converter. The control system generates a command signal to cause the PWM converter to control an output of the AC motor drive corresponding to an input to the AC motor, selectively generates a modified command signal to cause the PWM converter to inject a DC signal into the output of the AC motor drive, and determines a stator winding resistance of the AC motor based on the DC signal of at least one of the voltage and current.

Systems and methods are disclosed to control voltage profiles of a power grid by forming an autonomous voltage control model with one or more neural networks as Deep Reinforcement Learning (DRL) agents; training the DRL agents to provide data-driven, real-time and autonomous grid control strategies; and coordinating and optimizing reactive power controllers to regulate voltage profiles in the power grid with a Markov decision process (MDP) operating with reinforcement learning to control problems in dynamic and stochastic environments.