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178 results about "Inverse control" patented technology

Inversion of Control (IoC) is a design principle (although, some people refer to it as a pattern). As the name suggests, it is used to invert different kinds of controls in object-oriented design to achieve loose coupling. Here, controls refer to any additional responsibilities a class has, other than its main responsibility.

Inversing global SMFC (sliding mode fuzzy control) method for micro-gyroscope based on neural network

InactiveCN105045097AOvercome the disadvantage of not being robustQuick responseAdaptive controlProcess systemsGyroscope
The invention discloses an inversing global SMFC (sliding mode fuzzy control) method for a micro-gyroscope based on a neural network. An inversing global SMFC system based on the neural network consists of an inversing global sliding mode fuzzy controller, a neural network dynamic characteristic estimator, and a fuzzy uncertainty estimator. Global sliding-mode control can iron out a defect that an arrival mode in the conventional sliding-mode control does not have robustness, speeds up system response, and enables a system to have robustness in the whole process of response. The method enables a lyapunov function of the system and the design process of a controller to be systematic and structuralized through inverse design during the inversing control. Fuzzy control is used for approximating a switching function term, and a switching term in sliding-mode control is converted into continuous fuzzy control output, thereby weakening vibration in sliding-mode control, and achieving a stronger capability of adaptive tracking. Therefore, the method improves the transient performance and robustness of a sliding-mode control system, estimates the unknown dynamic characteristics of the micro-gyroscope, and reduces the vibration in the control of a sliding-mode control structure.
Owner:HOHAI UNIV CHANGZHOU

Bearing-free asynchronous motor RBF neural network self-adaptive inverse decoupling control and parameter identification method

The invention discloses a bearing-free asynchronous motor RBF neural network self-adaptive inverse decoupling control and parameter identification method. An SVPWM module, a voltage inverter, a bearing-free asynchronous motor and a load of the bearing-free asynchronous motor form a whole serving as a composite controlled object. Two radial basis function neural networks are adopted to achieve inverse control and parameter identification conducted on the composite controlled object. A self-adaptive inverse controller is formed by using an RBF neural network through learning, and is serially connected in front of the composite controlled object, errors of a feedback signal and a given signal are input into an inverse controller, and accordingly closed-loop control is formed, then a self-adaptive parameter identifier is formed by using one RBF neural network through learning and identifies output quantity speed and displacement of the composite controlled object, speed-less and displacement-free sensor control is achieved, online learning of an estimation signal is aided by means of a learning algorithm, and non-linear dynamic decoupling control of the bearing-free asynchronous motor is achieved. The bearing-free asynchronous motor RBF neural network self-adaptive inverse decoupling control and parameter identification method is high in control speed and higher in identification accuracy, and a control system is excellent.
Owner:JIANGSU UNIV

Nonlinear inverse control method used for dynamic hysteresis compensation of piezoelectric actuator

ActiveCN106707760AAccurately describe dynamic hysteresis characteristicsHigh positioning accuracyAdaptive controlHysteresisLoop control
The invention discloses a nonlinear inverse control method used for dynamic hysteresis compensation of a piezoelectric actuator. Nonlinear inverse control of the piezoelectric actuator is performed based on a Prandtl-Ishlinskii model by aiming at the problem that most models cannot perform accurate inverse analysis for the modeling difficulty of a dynamic hysteresis system; a dynamic critical value related to the input frequency is established to obtain a rate-dependent play operator, and the rate-dependent play operator is combined with a density function so as to obtain a rate-dependent Prandtl-Ishlinskii model; a hysteresis main ring is measured under different input frequencies so as to determine model parameters; the inverse parameters of the model are inversely solved by solving an initial load curve so as to obtain a rate-dependent Prandtl-Ishlinskii inverse model; and the Prandtl-Ishlinskii model and the inverse model thereof are used for an open-loop control system so as to compensate the hysteresis nonlinear property of the piezoelectric actuator. The experiment proves that the rate-dependent Prandtl-Ishlinskii model can accurately describe the hysteresis nonlinearity of the piezoelectric actuator and the rate-dependent Prandtl-Ishlinskii inverse model enhances the positioning and control precision of a hysteresis nonlinear system.
Owner:NANJING UNIV OF SCI & TECH

Method for integral realization of wireless touch control and wireless touch control all-in-one machine

The invention provides a method for integral realization of wireless touch control and a wireless touch control all-in-one machine. The wireless touch control all-in-one machine comprises a wireless screen projection module, an inverse control module, an electronic whiteboard module and a recording and playing module. The wireless screen projection module is operated at the steps that a screen projection frame displayed by a wireless touch control screen is re-arranged when a new wireless screen projection request from a new wireless screen projection client side is received, and the wireless touch control screen is divided into (M+1) areas according to screen projection setting rules, wherein the M areas are used for wireless screen projection of original M wireless screen projection client sides respectively; and the other area is used for wireless screen projection of the new wireless screen projection client side. The method and the machine have the advantages that application experience of seamless switching of multiple types of equipment can be achieved by each functional module at any time according to demands during a meeting course; and a meeting presenter does not need to walk among the multiple pieces of equipment, and meeting participants can concentrate on the screen, so that meeting efficiency and meeting experience can be enhanced.
Owner:BEIJING E TECHSTAR

Vibration controller and its vibration control method

The utility model discloses a vibration control apparatus based on self adaptive inverse control and the corresponding vibration control method which increases the control speed of the controller and realizes multi-point vibration control and waveform reproduction. The vibration control apparatus comprises a display and control unit, a calculation processing unit, a data acquisition unit, a vibration signal generating unit and a control object connected with the output signal of the vibration signal generating unit, wherein the calculation processing unit takes the DSP processor as the kernel and is in bidirectional signal connection with a field programmable gate array FPGA. The output of the control object is connected with the input of the data acquisition unit. The calculation processing unit comprises two self-adaptive filters for establishing and modifying the vibration signal respectively. The positive model P(Z) and the inverse model C(Z) of the control object are constructed off-line by utilizing the AP-NLMDF-CD algorithm through the two self-adaptive filters and then are modified on-line with the minimum iterative error as the evaluation criterion to make the output of the control object to approach to the referenced time domain input signal continuously.
Owner:XI AN JIAOTONG UNIV

Method for controlling rotating speed of steam turbine on basis of self-adaptive inverse control

The invention discloses a method for controlling the rotating speed of a steam turbine on the basis of self-adaptive inverse control, which aims at the characteristics of time lag, nonlinearity and obvious variation of dynamic characteristics along with the working conditions, difficulty in accurately modeling and the like of a steam turbine speed regulating system, adopts a self-adaptive inverse control theory and combines a neural network technology. According to the scheme, an object model, an inverse model and a disturbance canceling controller are obtained by utilizing RBF (Radial Basis Function) neural network on-line identification, a given rotating speed signal and external disturbance are respectively controlled to simultaneously achieve the optimal control effect and compromise does not need to be carried out between the given rotating speed signal and the external disturbance; compared with a steam turbine rotating speed PID (Proportion Integration Differentiation) cascade control method in the prior art, the self-adaptive inverse control method provided by the invention can well adapt to variation of the characteristics of a steam turbine speed regulation object, effectively overcomes the inertness and nonlinearity of the object, effectively inhibits the external disturbance and can obviously improve control quality of the steam turbine speed regulating system.
Owner:HENAN UNIV OF URBAN CONSTR

Adaptive inverse control system for chemical-mechanical polishing machine

The invention discloses an adaptive inverse control system for a chemical-mechanical polishing machine, which comprises a target pressure input device used for inputting target pressure of a polishing head chamber to a compound control device, a neural network identification device used for identifying a control model of a system based on the input pressure of the polishing head chamber input by the compound control device and the pressure output by the polishing head chamber, and the compound control device used for outputting the input pressure of the polishing head chamber based on the target pressure, the pressure output by the polishing head chamber and the control model. Each compound control unit comprises a neural network controller used for calculating neural network controlled quantity, a proportional integral controller used for generating proportional integral controlled quantity and a weighting device used for generating the input pressure of the polishing head chamber for the neural network controlled quantity and the proportional integral controlled quantity with the subsection variable-parameter control strategy. The adaptive inverse control system for the chemical-mechanical polishing machine is capable of reducing coupling among areas of the polishing head chamber through dynamic on-line decoupling of neurons.
Owner:TSINGHUA UNIV

Method for designing self-adaptive PID controller based on inverse dynamics model

The invention relates to a method for designing a self-adaptive PID controller based on an inverse dynamics model, and the method inputs vectors by selecting the proper inverse dynamics model of a control object, realizes the organic combination of PID control and self-adaptive inverse control, obtains PID control characteristic parameters which are matched with the control object by online identification of the inverse dynamics model of the control object, and forms the self-adaptive PID controller which adapts to the characteristics of the control object. Compared with the prior self-adaptive inverse control method, the method belongs to the closed-loop control, significantly reduces the dependence of the control performance on the precision of the inverse dynamics model and improves the robustness of a control system; and compared with the prior self-adaptive PID control algorithm, the method summarizes the self-adaptive PID control algorithm as the identification problem of the inverse dynamics fuzzy rule model of the control object and adopts the RLS algorithm for carrying out the online identification on the parameters and the vectors of a back piece of the inverse dynamics fuzzy rule model of the control object, thereby improving the self-adaptive capacity of the control process.
Owner:CHONGQING UNIV

Self-adaptive inverse control method of piezoelectric driver

The invention relates to a self-adaptive inverse control method of a piezoelectric driver. The method includes the following steps: establishing a non-linear mathematic model of output displacements and input voltages of a piezoelectric driver off-line according to a hysteretic non-linear relationship of the piezoelectric driver; according to the established non-linear mathematic model, calculating an inverse model of the piezoelectric driver and taking the inverse model as an initial inverse controller to drive the piezoelectric driver; calculating actual output displacements and input voltages of the piezoelectric driver when the piezoelectric driver is running on-line; identifying model parameters on-line through a self-adaptive algorithm, and obtaining a model during on-line running of the driver and calculating the inverse model of the driver; and according to the calculated parameters of the inverse model, replacing original parameters in a controller of the piezoelectric driver and updating the parameters on-line. The influence of parameter uncertainty of the model, unknown interference and other reasons is effectively overcome. Compared with a pure inverse model, the inverse model of the invention has the advantages that the control precision is greatly increased, and the inverse model is suitable for piezoelectric drivers with different models and different specifications.
Owner:NANJING UNIV OF SCI & TECH

Adaptive inverse controller construction method for bearingless permanent magnetic synchronous motor radial position nerve network

The invention relates to an adaptive inverse controller construction method for a bearingless permanent magnetic synchronous motor radial position nerve network. The method comprises steps that: 1), a composite controlled object is constructed; 2), the nerve network is utilized to construct a horizontal displacement object model, a horizontal displacement inverse control model, a vertical displacement object model and a vertical displacement inverse control model of the composite controlled object; 3), the horizontal displacement inverse control model and the vertical displacement inverse control model are connected in series before the composite controlled object as two paths of feedforward controllers of the composite controlled object; 4), on-line adjustment on weight parameters of the horizontal displacement object model, the horizontal displacement inverse control model, the vertical displacement object model and the vertical displacement inverse control model is carried out in real time; and 5), a horizontal displacement nerve network adaptive inverse controller and a vertical displacement nerve network adaptive inverse controller are constructed and commonly form a nerve network adaptive inverse controller which controls the composite controlled object.
Owner:淮安仲益电机有限公司

SGCMG fault in-orbit plan design method based on robustness pseudo-inverse control rate

ActiveCN106919055AGuarantee ground statusEnsure safetyAdaptive controlGyroscopeAngular momentum
The present invention discloses a SGCMG (Single Gimbal Control Moment Gyroscope) fault in-orbit plan design method based on a robustness pseudo-inverse control rate when a satellite employs the SGCMG as an attitude control execution mechanism. The method comprises: determining the angular momentum H and the moment matrix C of a gyroscope group according to the configuration of a control moment gyroscope group and the direction arrangement of each single-frame control moment gyroscope frame shaft; designing a robustness pseudo-inverse control rate; and based on a robustness pseudo-inverse algorithm, basically ensuring the normal ground control of the satellite attitude in the condition of n-3 SGCMG faults (n is the number of SGCMGs in the control moment gyroscope group) through satellite autonomous diagnosis and planning design aiming at the faults easily happening in orbit of the control moment gyroscope, wherein the faults comprise the on-off fault, the unstable rotor speed fault, the communication fault, the external frame blocking and the external frame rotate speed unchanging fault. The SGCMG fault in-orbit plan design method based on the robustness pseudo-inverse control rate can improve the satellite in-orbit real-time autonomous diagnosis capability, reduce the dependence on the ground, avoid the delay of ground solution measures, enhance safety and reduce the whole-spacecraft risk.
Owner:SHANGHAI AEROSPACE CONTROL TECH INST

Aircraft robustness non-linear control method and robustness controller system

The present invention provides an aircraft robustness non-linear control method and a robustness controller system. The method comprises the steps of: designing a nominal control system according to features of an aircraft model, and combining an nth control input instruction to obtain nth error state information, wherein the nth error state information comprises a linear error system and equivalent disturbance; designing a state feedback controller to configure system poles, improving system dynamic response, and obtaining state feedback control input; designing a robustness compensation output control law to inhibit the equivalent disturbance, and obtaining robustness compensation input; employing a dynamic inverse control law to inhibit the nth error state information according to the state feedback control input and the robustness compensation input, and obtaining an (n+1)th control input instruction; and repeatedly executing the steps to obtain (n+1) error state information satisfying an error threshold. The aircraft robustness non-linear control method and the robustness controller system can reduce system conversion, can achieve integrated consideration for a plurality of nondeterminacys, can shorten convergence time of tracking errors and can inhibit the nondeterminacy influences in the whole frequency range.
Owner:BEIHANG UNIV

Power transformer noise control method based on inverse control technology

The invention provides a power transformer noise control method based on an inverse control technology. The power transformer noise control method based on the inverse control technology comprises the steps that noise signals generated by a noise source of a power transformer are collected through a primary sensor and are regarded as reference signals of a control system; error signals generated through the superposition of noise reduction signals and the noise signals are collected through an error sensor; the control system establishes a secondary sound channel model for a secondary sound channel through an adaptive modeler according to the error signals, simulates the process that the noise reduction signals generated by a secondary noise reduction source are transmitted in space and obtains sound signals of a simulation secondary sound source; the control system carries out inverse modeling on the secondary sound channel through the adaptive modeler according to the error signals, and the secondary sound channel is connected with the secondary sound channel model in series in the control system; the sound signals equal to the reference signals in amplitude are obtained through calculation, and inverting processing is carried out on the sound signals to obtain control signals controlling the secondary noise reduction source; the noise reduction signals are output according to the control signals. The power transformer noise control method based on the inverse control technology can effectively control low-frequency noise of power transformers.
Owner:SHENZHEN POWER SUPPLY BUREAU +1
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