48 results about "Robust control system" patented technology

A Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a motorcycle is described. In one embodiment, a simulation model of the motorcycle and rider control is used. In one embodiment, the simulation model includes a feedforward rider model. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and/or output variables; the type of fuzzy inference; and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.

Disclosed is a network control system controller design method based on a hidden semi-markov model. The method uses the hidden semi-markov model to describe a network load state and then carries out modeling on a network control system in which time delay and packet loss exist and according to a robust control theory, a semi-markov jump linear system theory and a Lyapunov theory, the method uses interval expression of a state self-transfer probability to offer sufficient conditions for existence of an easily solvable state feedback robustness H <infinity> controller of the network control system and offer a design method for a control law so that multimode switching control of the network control system is realized.

The invention relates to a robust control and distribution method applied to a fault-tolerant flight control system and belongs to the technical field of aerospace fault-tolerant flight control. The robust control and distribution method includes linearizing an aircraft model to generate a control efficiency matrix, determining efficiency coefficient of each rudder side influencing three-axis posture control of the aircraft, building a fault model, converting fault parameter estimation problems into linear regression problems so as to estimate fault parameters by a least square linear regression method, calculating uncertainties of estimated fault parameter results corresponding to each rudder side by a fault projection method and weighting and smoothing; considering difference of the uncertainties of the fault parameters corresponding to the rudder sides, solving the problem about optimization of the minimum control distribution error under the worst condition, controlling and distributing robust, equivalently converting the problem of optimization into the problem of convex optimization, and solving to obtain the robust control and distribution results by a primal dual interior point method. Robustness of control and distribution is improved.

The invention discloses a speed sensorless optimization method based on fuzzy control and sliding mode observer, which detects the position and rotor speed of the motor rotor through a sliding mode observer which is easy to implement in engineering, and uses a fuzzy controller to replace the traditional PI speed regulator. In the permanent magnet synchronous motor vector control system, due to the obvious delay of the traditional PI regulator and the low self-adaptive ability, the robustness of the fuzzy control is strong, and the influence of disturbance and parameter changes on the control effect is greatly weakened, especially It is suitable for the control of nonlinear, time-varying and pure lag systems. Fuzzy control is designed based on heuristic knowledge and language decision rules, which is conducive to simulating the process and method of manual control and enhancing the adaptability of the control system. It has a certain The level of intelligence is very suitable for those objects whose mathematical models are difficult to obtain, whose dynamic characteristics are difficult to grasp, or whose changes are very significant.

The invention discloses an aircraft time lag varying model approximation and controller designing method, and aims to solve the technical problem that the existing robust control theory is lack of the design steps and an aircraft controller cannot be directly designed. The technical scheme is as follows: the robust stability solvable condition of a time varying approximation system is given, a closed loop expecting pole fed back by a linear system state is directly utilized for selection, and a given conditional inequality is given to design a feedback matrix directly according to the characteristic that the real part of all closed loop expecting poles are negative numbers. By utilizing the method, the aircraft model containing time lag varying uncertainty are obtained by engineering technicians in the research field during wind tunnel or flight test, and an aircraft controller can be designed directly, so that the technical problem in the current research that only the robust stability inequality is given and the aircraft controller cannot be designed directly is solved.

A robust control method for directly driving a numerical control platform based on coordinate transformation and parameter adjustment includes the steps: firstly, determining the initial phase of a motor rotor; secondly, performing coordinate transformation and parameter adjustment for contour errors to obtain position errors, namely calculating positional deviation and judging whether to adjust positions or not; and finally, executing robust control algorithm, outputting control quantity and driving the numerical control platform. A control system used in the method comprises a voltage regulation circuit, a rectifier filter unit, an IPM (intelligent power module) inverter unit, a DSP (digital signal processor), a Hall sensor, a grating bar, a current sampling circuit, a positioning sampling circuit and an IPM isolation driving protection circuit. A robust contour controller is used for directly driving the numerical control platform. Based on a complete coordinate transformation and parameter adjustment function, the robust contour controller can be applied to any smooth contour curves, device modeling errors and interference are avoided, and stability of the robust control system is improved.

AC/DC rectifiers are vital elements in industry. Their uses include HVdc electric energy transmission, uninterruptible power supplies (UPS), electrochemical plants, railway systems, variable speed induction motors, telephone plants, etc. Regrettably, currents I_A, I_B and I_C on the primary side of the transformer feeding the rectifier are distorted, which is penalized worldwide. Conventionally, this distortion is reduced through an apparatus connected either on the primary or secondary side of the transformer. The proposed apparatus, however, is connected on the DC side of the rectifier. It is demonstrated in a laboratory prototype that this apparatus achieves notably low distortion levels (ideally zero) in currents I_A, I_B and I_C, at low cost and with a simple and robust control system, which is capable of handling rapid load variations. It can also be repaired on line without the need to disconnect the system.

The invention discloses a robust flight controller design method which is used for solving the technical problem that the existing robust control theory lacks design steps, so the flight controller is hard to design directly. The technical scheme is as follows: the system robust stability and solvability conditions are given, selection of desired closed-loop poles of linear system state feedback is directly utilized and a constraint condition inequality direct design feedback matrix is given according to the characteristic that all the real parts of all the desired closed-loop poles are negative, so that the engineering technicians in the research field directly design the flight controller for the aircraft model with uncertainty obtained through wind tunnel or flight tests, thus solving the technical problem that the current researches only give the robust stability inequality but can not directly design the flight controller.

The invention relates to a robust control system and a robust control method for an electric time synchronization system. The time synchronization system comprises at least two master clock devices and a slave clock device, wherein the master clock devices are interconnected via an optical fiber; the master clock devices are interconnected with the slave clock device via the optical fiber; the time synchronization system receives an external time source signal via the master clock devices, so that safety and reliability of time source selection of the master clock devices can be ensured by ensuring the safety and reliability of the external time source signal; each master clock device is composed of a clock receiving unit, a clock unit and an output unit connected in sequence; and the time synchronization system is provided with a reliability judging module on the clock receiving unit and the clock unit.According to the system and the method provided by the invention, beginning with signal sources of the time synchronization system, signal security of the input time source is judged by introducing the plurality of external time sources, interference of the external instable signal and malicious tampering of the input time source signal are completely eradicated, and thus the most reliable time source is selected to serve as the synchronization time source of the master clock devices, and reliability of the time source signal of the master clock devices is ensured.

The invention discloses a robust control system for an automobile air suspension and a control method for the robust control system. The robust control system comprises a sensor group, a GPS navigation module, a control module and an execution mechanism. The control module receives signals acquired by the sensor group and the GPS navigation module, a robust controller K is obtained through calculation by establishment of an ECAS dynamic model, the minimum weighing sum of the suspension dynamic deflection, the wheel vertical acceleration and the automobile body vertical acceleration serves as a target, the rigidity required by an air spring is obtained, and the rigidity of the air spring is adjusted through opening and closing of a volume electromagnetic valve. Changes of the load, the rigidity and the like, road surface disturbance and an ECAS automobile dynamic nominal model are integrated on an established augmentation ECAS automobile model, a structure singular value Mu theory and a small gain theory are introduced for analyzing and integrating the augmentation model, the robust controller K obtained through calculation can make an ECAS system having the robust performance while the keeping robust stability, and the control performance of the air suspension can be greatly improved under the condition that the majority of hardware of an original system is inherited.

The invention discloses a robust control theory-based rocket-assisted launching control method adopting angular rate control and fusion climbing angle compensation. Compared with an attitude control method based on the elevation angle, the method adopts an angular rate control method in the launching process of a certain target aircraft, and can accelerate the response to unfavorable disturbance suppression in the launching process, improve the capacity of a system for resisting external uncertain interference and guarantee that the target aircraft is launched and takes off safely; besides, based on the angular rate control method, the hardware production cost of the target aircraft is greatly reduced, and meanwhile the success rate and reliability of rocket-assisted launching can be improved.

The present invention discloses a controller automatic design method based on 'library' thinking and an intelligent optimization algorithm, and the method is used for realizing the controller automatic optimization design of different types of control systems. According to the method provided by the invention, firstly a specific control strategy is determined according to the different types of control systems, a suitable control link is selected to form the specific structure of the controller, a needed performance index is selected as a fitness function according to a field condition and a user need, then the intelligent optimization algorithm is used to globally search the parameter of the controller in a set range, an optimal solution is obtained, and the automatic optimization design of the controller is completed. The controller designed by the invention has the advantages of a rich structure and a large parameter range, the control performance of the controller is superior compared with a traditional PID controller, and the accurate and effective control of a controlled object can be realized. The method provided by the invention has the advantages of strong versatility and effectiveness, and the obvious superiority is reflected.

The invention discloses a stable adaptive robust position control method for a permanent magnet synchronous linear motor, and provides a stable adaptive robust control system to realize high-precision position control of the permanent magnet synchronous linear motor. A practical system has adverse factors such as parameter uncertainty, indeterminate nonlinearity and non-parametric uncertainty; under such circumstances, by designing the control law, the adaptive law, the convergence proof and the robustness proof, u is taken as a control input of a servo controller by a control object, and an encoder signal is taken as real-time feedback of position information. On the basis of adaptive robust control, stable adaptive robust control is provided; the characteristics of adaptive control are combined with the characteristics of robust control; regressor substitution and dead zone methods are added, so that rapid and accurate trajectory tracking is realized by the permanent magnet synchronous linear motor; the effects caused by three influence factors of a nonlinear system are well restrained; and the permanent magnet synchronous linear motor has relatively high anti-jamming capability and good stability.

The invention discloses a flexible DC convertor station small interference impedance equivalence method. In small interference analysis of a convertor station at one end of a flexible DC power grid, small interference impedance equivalence needs to be carried out on the rest parts; a flexible DC convertor station control system is complex; and when the small interference impedance equivalence is carried out thereon, multiple factors need to be taken into consideration. The equivalence mathematic model, taking both operating conditions of a primary system and multiple parameters of local control and coordinated control systems into consideration, has higher accuracy, and realizes balance between rapidity and accuracy of small interference analysis.

The invention relates to a simulated training system for operators of aerospace measurement and control systems and a training method, for solving the problem that at present, real equipment measurement and control vehicles and vehicle-mounted devices are limited, so that the operators of control systems and the like can not carry out real equipment testing drill; after the training system is usedbefore the practical operation, the training effect can be obviously improved, so that the situation that the operators of the traditional control systems are lack of practical training is changed; and after the operators of the control systems carry out disposing training for special circumstances by using the simulated testing method, the response capacity for dealing with the special circumstances of the operators can be improved, and thus the accuracy of the operation is guaranteed. With the system and the method, the external extreme environment can be simulated to the maximum, then theadaptation capacity of the operators is trained, the influences on the operation capacity of the operators of the control systems due to the change of the external environment are eliminated, the influence effect of the environment on the operators is reduced, and thus the operation stability is promoted.

The invention discloses a control method for a vertical material conveyor based on sliding form adaptive robust control. The method comprises the followings steps that a mathematical model of the vertical material conveyor is constructed; an expected movement track of the vertical material conveyor is planned; a sliding-form adaptive robust control system is constructed; a control law of the vertical material conveyor is formed, and can be used to control position of the vertical material conveyor by combining the sliding-form adaptive robust control system. On the basis of a sliding form controller, the reasonable adaptive control law is designed for unknown parameters of the vertical material conveyor to compensate influence of model uncertainty on the control system, the adaptive control law is designed for the robust coefficients in the traditional sliding form controller, the robustness of the traditional sliding form control system is ensured, buffeting is reduced, performance of the control system is further improved, and the position of the vertical material conveyor with parameter perturbation can be controlled precisely.

The invention provides a robust control system identification method and belongs to the control field. The robust control system identification method is used for determining the value interval of non-linear system parameters and comprises establishing a discrete switch model equation, and simplifying a discrete switching model to acquire a concise expression of the equation; acquiring model inputand output data, substituting the model data into the concise expression for solving to acquire an equation parameter data set; filtering the data inside the parameter data set to acquire filtered data, and redistributing the filtered data to acquire a redistributed parameter data set. By basing the thought of maximum feasible set during a parameter data set determining process and meanwhile applying an efficient approximate calculation method, the robust control system identification method can help rapidly identify the parameter upper and lower limits of a time-varying system, make up the deficiency of various identification methods in the prior art and improve the efficiency of determining the value range of parameters.

The present invention belongs to control science and engineering field. The control system includes three basic modules: five-element robust controller, detector and control object, and the five-element robust controller features the increased control increment calculating unit with embedded five-element control and calculation model. The key of the control method is running the five-element control and calculation mode, that is, in each sample time, five error values are extracted from the memory unit and used as the input of the model, and are used in the weighting and summation operation together with five parameters from the model so as to generate the control function increment. The present invention has excellent disturbance resisting capacity, strong tracking capacity and power saving, safe and reliable control characteristic.