113 results about "Robust design" patented technology

A modulated transformer-coupled gate control signaling method and apparatus provides reduction of circuit complexity and robust design characteristics in switching power circuits having a transformer-coupled gate drive. A modulated control signal at a rate substantially higher than the switching circuit gate control rate is provided from the controller circuit to a demodulator via transformer coupling. Power for the demodulator can be obtained by rectifying the modulated control signal at the demodulator, or from another transformer winding. The modulation scheme is chosen to have a DC average value of zero, eliminating any magnetization current management requirements. The modulated control signal may carry redundant control information and / or may encode additional information to provide a more sophisticated gate drive control, such as oversampled gate control information.

A connector suitable for establishing an electrical connection with any number of batteries. The connector including any number of features for assessing operating characteristics associated with the battery, such as but not limited to current, voltage, and temperature. The connector optionally being of a robust design and configured to ameliorate vibrations and forces.

Disclosed are fiber optic cables and assemblies for routing optical networks closer to the subscriber. The fiber optic cables have a robust design that is versatile by allowing use in aerial application with a pressure clamp along with use in buried and / or duct applications. Additionally, the fiber optic cables and assemblies have a relatively large slack storage capacity for excess length. Assemblies include hardened connectors and / or optical connectors such as plugs and / or receptacles suitable for outdoor plant applications attached to one or more ends of the fiber optic cables for plug and play connectivity.

An electrochemical battery cell comprising a cell housing defining an inner space, a first terminal and a second terminal; and at least one pre-formed pellet disposed within the inner space of the cell housing. The pellet includes an outer electrode portion formed from a material to geometrically define the pellet in a solid form. The outer electrode portion is in electrical communication with the first terminal of the cell housing. The pellet also includes an inner electrode encapsulated by a separator and embedded within the material of the outer electrode portion. The inner electrode is in electrical communication with the second terminal of the cell housing and electrically insulated from the outer electrode material. In a preferred embodiment, the inner electrode comprises an anode and the outer electrode portion comprises a cathode portion. The integrated anode / cathode pellet configuration facilitates lowers costs, a more robust design and ease of manufacturability while maintaining and allowing increased performance characteristics of the battery cell.

A method for controlling a malfunction catalyst diagnostic test that determines a malfunction status of a catalyst within a selective catalytic reduction device includes monitoring an exhaust gas flow within an aftertreatment system, estimating an effect of the exhaust gas flow on an estimated reductant storage on a catalyst within the selective catalytic reduction device, and selectively disabling the malfunction catalyst diagnostic test based upon the estimating the effect of the exhaust gas flow on the estimated reductant storage.

This invention presents a robust design for a sun tracking control system where a capacitor(s) is charged from the solar panel and used to power a tracking control system and motor actuator(s). The control system periodically moves the solar array to a calculated sun position. The control system also monitors the energy stored in the capacitor(s) and makes its move decisions contingent on the level of stored energy. This added level of energy based decisions provide the tracking system a robust operating behavior to accommodate real world operating conditions with a simple rule set.

The invention discloses a high-speed press base reliability robust design method considering dynamic characteristics. The method comprises the following steps of establishing a reliability robust design model for the dynamic characteristics of a high-speed press base; sampling design variables and uncertain parameters by adopting a Latin hypercube sampling method and acquiring a response value of a sample point by a cooperation simulation technology; according to input-output information of the sample point, establishing an RBF (Radial Basis Function) neural network model for forecasting index values of the dynamic characteristics of the base in objective and constraint functions; carrying out iterative refinement by utilizing a double-layer nested genetic algorithm on the basis of interval constraint violation, a uniform interval dominance degree and an interval sequence vector so as to obtain the optimal solution of a base design scheme. The method carries out dynamic characteristic reliability robust design on the high-speed press base on the basis of the RBF neural network model according to the actual design requirements of the high-speed press base and can conveniently and rapidly obtain the design scheme of the high-speed press base which accords with the reliability requirement and has robust.

The present invention is directed to a parallel processing infrastructure, which enables the robust design of task scheduler(s) and communication primitive(s). This is achieved, in one embodiment of the present invention, by decomposing the general problem of exploiting parallelism into three parts. First, an infrastructure is provided to track resources. Second, a method is offered by which to expose the tracking of the aforementioned resources to task scheduler(s) and communication primitive(s). Third, a method is established by which task scheduler(s) in turn may enable and / or disable communication primitive(s). In this manner, an improved parallel processing infrastructure is provided.

A multi-axis numerical-control machine tool processing precision retaining ability optimization method based on a robust design belongs to the machine tool precision design field. The invention especially relates to a modeling method of a space error of a multi-axis numerical-control machine tool, a machine tool reliability optimization design method and a robust optimization design method. A space error model of the multi-axis numerical-control machine tool, a reliability model under a multi-failure mode, a sensitive degree model and a machine-tool total cost model are established. A process is characterized in that a minimum sensitivity and lowest cost are taken as an object; the reliability is taken as a constraint; a machine tool geometry parameter error is optimized and a machine tool processing precision retaining ability is increased. By using the method, a multi-axis numerical-control machine tool geometry error acquisition problem and a machine-tool main transmission assembly precision grade determination problem are radically solved.

The invention discloses a high-speed press sliding block dimension robust design method based on an interval. The method comprises the steps that a robust design model including design variables and interval uncertainty parameters is built according to the design needs of a high-speed press sliding block dimension, the response values of an objective function and a constraint function which correspond to sampling points are obtained, the function relationship between the design variables and the uncertainty parameters and a design target is determined according to sampling point information, a polynomial model of the objective function and the constraint function is built according to the least squares criterion, the matching precision of the polynomial model is detected, and iteration optimization is carried out by combining the polynomial model and a double nested genetic algorithm. According to the method, non-probability robustness design is carried out based on interval mathematics according to the design needs of the high-speed press sliding block dimension, and a robust and optimal high-speed press sliding block design scheme can be obtained conveniently.

The invention discloses a parallel robot motion control method with fast response and robust performance, which belongs to the field of electromechanical control. The method comprises steps: an ideal displacement instruction for each driving shaft is obtained through inverse solution according to a parallel robot expected trajectory; and a fractional order PDmu controller is used to ensure a control system to be stable and have a quick response ability through selecting an ideal cutoff frequency, a phase margin and a robust design criterion. During the motion process, a grating ruler is used for feeding back the actual motion state of each driving shaft, the PDmu controller gives the motion control amount according to the ideal displacement instruction and the feedback state, and the motion control amount is sent to a motor driver to drive the motor to rotate. In addition, a dynamic model for the parallel robot is built, a driving torque command is obtained according to the model, the driving torque command sends a compensation signal to a driver through a dynamic feedforward compensation controller, disturbance torque of the parallel robot during a linkage process is compensated, system robustness is enhanced, and the parallel robot can be ensured to complete planning motion.

The invention provides an automotive chassis technical parameter robust design method based on a full life circle. The method comprises the following steps that (1) finished automobile parameters are input; (2) an optimal virtual prototype model is determined; (3) a mathematical model is built, wherein design variables include a controllable variable, an environmental noise factor and dynamics test parameters; (4) individual performance preferences are determined, and after the individual performance preferences are aggregated in a layered mode, an optimal robust solution is obtained through an overall performance preference function; (5) the design result is verified. Compared with the prior art, the automotive chassis technical parameter robust design method based on the full life circle has the advantages that the various information parameters in the development design stage, the manufacturing stage and the usage stage serve as the design variables, the optimal robust solution is obtained through the overall performance preference function formed by aggregating all the individual performance preferences, and optimal performance and robust performance of the full life cycle of an automotive chassis are ensured. In addition, an optimal chassis prototype model determined through simulation comparison serves as a design platform, and optimality of a chassis structure type is ensured.

A fluid cooled photovoltaic module in which a polymer heat exchanger transfers heat from the photovoltaic module to a circulated fluid. The photovoltaic module is maintained at a cool temperature enabling increased power output while the heat transferred to the circulated fluid can be useful for applications that require heat. A polymer heat exchanger is specifically utilized to achieve a robust design that is cost effective; high performance; easily adaptable to various photovoltaic module types and sizes; compatible with conventional photovoltaic module balance of systems; light weight; resistant to water sanitizers and other chemicals; resistant to lime-scale buildup and heat exchanger fouling; corrosion resistant; easily transported, assembled, installed, and maintained; and leverages high production manufacturing methods.

The invention pertains to a probe for measuring pressure pulsations. The probe comprises an inner tube (1) functioning as a measurement tube; an outer tube (12) arranged to envelop the measurement tube, and forming a toroidal space (14) between the inner and the outer tube; a pressure transmitter (6) which is in connection with the interior of the measurement tube on a transmitter side of said tube; a semi-infinite tube (8) with a first end in connection with the transmitter side end (3) of the measurement tube, and with a second end (11) in connection with the toroidal space. The semi-infinite tube (8) is arranged as a winding around the inner and / or outer tube, resulting in a compact and robust design of the probe, which is especially suited for a long-duration use for the measurement of combustor pulsations of gas turbines.(<cross-reference target="DRAWINGS">FIG. 1< / cross-reference>)

The invention discloses an active noise reduction headphone based on an active noise control algorithm, a noise reduction method and a storage medium. The method comprises the following steps: acquiring headphone outside noise by a reference microphone, and transmitting the acquired outside noise to all active noise control systems; processing the outside noise acquired by the reference microphoneby the active noise control systems by virtue of a variable order algorithm of combining a variable iteration parameter and a qualified function, and outputting cancellation noise to a silencing speaker; and outputting the received cancellation noise by the silencing speaker and canceling the actual noise. According to the novel active noise reduction headphone based on the active noise control algorithm provided by the invention, with the adoption of a robust design, the noise signal is subjected to cyclic iterative processing by the system, the most suitable noise reduction system parameters can be selected, and the change of a noise signal is rapidly and accurately tracked, so that the noise reduction effect is greatly improved.

An energy system is specified, which comprises a wind power turbine or water power turbine, which is connected to a generator, with the generator having at least two stator windings. In order to achieve a simple and robust design without a transformer, each stator winding has an associated rectifier unit, and each stator winding is connected to the AC voltage side of the associated rectifier unit. Furthermore, each rectifier unit has a respective associated energy storage circuit, and each rectifier unit is connected in parallel on the DC voltage side to the associated energy storage circuit, with the energy storage circuits being connected to one another in series.

The invention discloses a reliability robust design method for a multi-failure mode of a superdeep well lifting container. The method includes the following steps of (1) determining structural parameters, material properties and dynamic load randomness of the lifting container, and adopting an experiment design method for figuring out a random response to a structure failure under random parameters; (2) according to a failure criterion of the lifting container, creating a reliability performance function under each failure mode; (3) taking the probability correlation among the failure modes into account, and adopting a copula theory for creating a combined probability model of correlative failures; (4) creating a system reliability model correlative with failures of the lifting container under the combination of the combined probability model; (5) creating a sensitivity model of the system reliability of the lifting container for each random parameter; (6) under the combination of an optimization design model, creating a lifting container reliability robust optimization design model with the combined failure probability and parameter sensitivity as constrains.

The invention relates to an optimization design method for a non-API (American petroleum institute) thread sealing face. The method includes: constructing an optimization objective function according to the sealing quantity requirement of a plurality of limited condition loading points; describing the shape of the sealing face of an internal thread and an external thread with non-uniform B-spline curves; using control vertex coordinates of characteristic polygon of the non-uniform B-spline curves as variables of the optimization design; determining constraint conditions of the variables of the optimization design according to diameter parameter range requirements of oil bushing sealing face and upper limit requirements of contact interference of the sealing face; using numerical simulation of finite element to build the objective function of sealing of the sealing face and connection among different shape design variables of the sealing face; constructing test data points used for evaluating response function via numerical simulation; constructing an optimization model; using non-dominated sorting genetic algorithm modifier based on robust design method to implement multi-object optimization; and determining Pareto optimal solution collection. By the method, targeted and precise control of sealing integrity of threaded connectors is achieved.

The invention relates to a permanent magnet cavity structure robust design method capable of reducing iron loss of a built-in permanent magnet motor. The method comprises steps: initial permanent magnet cavity structures of the motor are determined, and the built-in permanent magnet motor adopts a single layer of U-type permanent magnet structures; the permanent magnet cavity structures of the motor are improved, triangular permanent magnet cavity expansion structures are added at places, near the surface of a rotor iron core, at two sides of each U-type permanent magnet cavity, and the permanent magnet cavities between adjacent poles are connected; and a Taguchi method is used for optimizing the permanent magnet cavity improved structures. The permanent magnet cavity structures of the built-in permanent magnet motor with the single layer of U-type permanent magnet structures are improved, the improved structure can effectively reduce the harmonic component in an air-gap magnetic field, iron loss of the stator and the rotor of the motor is reduced obviously, the optimized permanent magnet cavity structure enables electromagnetic torque ripple and cogging torque of the motor to be reduced obviously, and smooth operation of the motor is enhanced.

The invention relates to a brush unit for an electric machine having a simple and low-cost but robust design, and that can be assembled at low cost using simple process steps, comprising four ring-shaped board elements (1, 3, 5, 7) stacked on each other, namely two outer circuit boards (1, 3), each of which is electrically conductively connected to one or more brushes (9), and two guide boards made of electrically insulative material disposed therebetween, comprising a shape having protrusions and recesses for forming radial guides (21) for the brushes (9) and receptacles (40) for springs (35) acting on the brushes. The springs are spiral springs wound around a mandrel (39), the flat ends thereof protruding past the springs being rotationally fixedly guided in a guide groove of each receptacle (40) and able to engage behind a stop (43). In order to assemble the brush unit, the circuit and guide boards (1, 3, 5, 7) are stacked on each other in the axial direction and riveted, then the brushes (9) are inserted in the guides (21) in the radial direction and the springs (35) are placed in the receptacles (40).

The present invention relates to an aircraft global finite time neural network control method based on a switching mechanism, belonging to the field of aircraft control. The problem of aircraft globalfinite time neural network control is solved. The method comprises the steps of: decoupling an aircraft vertical model to a height subsystem and a speed subsystem, employing backstepping control forthe height subsystem, and employing PID control for the speed subsystem. For the height subsystem, a switching mechanism is introduced to achieve switching between an effective approaching intra-areaneural network control and approaching outer-area robust control, and based on the tracking errors and the modeling errors, performing updating of the neural network weight so as to improve the learning performance of the neural network, and giving a robust design scheme on this basis, achieving finite time convergence of the tracking errors of the system. The aircraft global finite time neural network control method ensures that the aircraft neural network control is still worked in the effective approaching area to achieve the global stability of the closed-loop system and ensure the performance demand of the practical engineering application.

Methods achieve fast parasitic closure in IC (integrated circuit) synthesis flow with particular application to RFIC (radio frequency integrated circuit) synthesis flow. Parasitic corners generated based on earlier layout statistics are incorporated into circuit resizing to enable parasitic robust designs. The worst-case parasitic corners are generated efficiently without expensive statistical computations. A performance-driven placement with simultaneous fast rough routing and device tuning generates high quality placements and compensates for layout induced performance degradations. A regression-tree based macromodeling methodology is introduced for modeling of electrical performances to enable true performance-driven layout synthesis. To improve sampling quality, an annealing-based placer can be used to perform sampling. The modeling methodology can be adapted to include automatically adjusting the device tuning ranges to meet certain model accuracy requirements.

The invention relates to a nonlinear strict-feedback system and global finite-time neural network control method, belongs to the field of nonlinear system control and the field of neural network control, and is used for solving a problem of nonlinear strict-feedback system and global neural network control with unknown dynamics. The method is based on a backstepping framework; a switching mechanism is introduced to implement switching between neural network control in an active approximation domain and robust control outside the approximation domain; meanwhile, a neural network weight is updated on the basis of a tracking error and a modeling error; learning performance of a neural network is improved; on the basis, a robust design scheme is given out; finite-time convergence of the systemtracking error can be implemented. According to the invention, one type of strict-feedback system and neural network control with unknown dynamics is guaranteed to always work in the active approximation domain, global stability of a closed-loop system can be implemented, learning performance of the neural network for unknown dynamics is improved, and the performance requirement of the actual control problem is ensured.

The invention discloses a robust waveform optimization method for improving MIMO-STAP detection performance. The robust waveform optimization method includes the steps that firstly, an MIMO-STAP model is built; secondly, an actual space-time-frequency steering vector model is built for dealing with the situation that estimation errors exist in space-time-frequency steering vectors, and the robust waveform optimization problem is described accordingly; thirdly, the robust waveform optimization problem is slacked to be the SDP problem through the diagonal loading method, and therefore a solution can be efficiently obtained through multiple mature optimization toolboxes. Because robust design for dealing with the situation that estimation errors exist in parameters needed in solving the waveform optimization problem is considered, the robust waveform optimization method is closer to actual scenes and has high practical value; because the robust waveform optimization problem is slacked to be the SDP problem through the diagonal loading method, the solution can be efficiently obtained.

The invention discloses a robust design method for positional parameters of front vehicle wheels. In the method, a robust design model for the positional parameters (a king pin inclination angle, a king pin caster angle, a front wheel camber angle, and a front wheel toe-in) of the front vehicle wheels is established by taking a multibody system dynamics theory as a basis, comprehensively considering the synergic relationship among a steering system, a drive system and a suspension system, analyzing the dynamics characteristics of the positional parameters of the front wheels under motor steering, straight running, wheel hopping and other various running states, integrating uncertain factors, such as the manufacturing errors of a steering trapezoidal arm, the assembling errors of a steering knuckle, a fit clearance between a steering mechanism and the suspension system, a designed variable numerical range, the preferences of all subgoal performances and the like, and taking the minimum angle turning error, the minimum sideslip during straight running and the minimum front wheel pivot angle during wheel hopping in a steering process as optimization goals. The robust design method disclosed by the invention has the advantage of improving the design level for the positional parameters of the front vehicle wheels in China, and can be widely applied to design of various types of vehicles.