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Parameter self-tuning method of mimo full format model-free controller based on partial derivative information

A parameter self-tuning, model-free technology, applied in adaptive control, general control system, control/regulation system, etc., can solve the problem of unrealized penalty factor, affecting the control effect of MIMO full-format model-free controller, and lack of effective tuning methods. And other issues

Active Publication Date: 2020-10-09
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] However, the MIMO full-format model-free controller needs to rely on empirical knowledge to pre-set the penalty factor λ and the step size factor ρ before it is actually put into use. 1 ,…,ρ Ly+Lu and other parameters, the penalty factor λ and step size factor ρ have not yet been realized in the actual commissioning process 1 ,…,ρ Ly+Lu Online self-tuning of other parameters
The lack of effective parameter setting means not only makes the debugging process of the MIMO full-format model-free controller time-consuming and laborious, but also sometimes seriously affects the control effect of the MIMO full-format model-free controller, restricting the development of the MIMO full-format model-free controller. Promote application

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  • Parameter self-tuning method of mimo full format model-free controller based on partial derivative information
  • Parameter self-tuning method of mimo full format model-free controller based on partial derivative information
  • Parameter self-tuning method of mimo full format model-free controller based on partial derivative information

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0051] figure 1 The principle block diagram of the present invention is given. For a MIMO (Multiple Input and Multiple Output) system with mu inputs (mu is an integer greater than or equal to 2) and my outputs (my is an integer greater than or equal to 2), the full MIMO format is adopted. The model controller performs control; determine the control output linearization length constant Ly of the MIMO full-format model-free controller, Ly is an integer greater than or equal to 1; determine the control input linearization length constant Lu of the MIMO full-format model-free controller, Lu is an integer greater than or equal to 1; MIMO full format model-free controller parameters include penalty factor λ and step factor ρ 1 ,…,ρ Ly+Lu ; Determine the parameters to be tuned of the MIMO full-format model-free controller, which is part or all of t...

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Abstract

The invention discloses a partial deviation information based parameter self-setting method of an MIMO tight-format model-free controller. Partial deviation information serves as input of a BP neuralnetwork, the BP neural network carries out forward calculation and outputs to-be-set parameters, including an output-layer output punishing factor and a step factor, of the MIMO tight-format model-free controller, a control algorithm of the MIMO tight-format model-free controller is used to calculate a control input vector aimed at a controlled object, reverse spreading of system errors is calculated by taking minimizing a value of a system error function as the target, employing a gradient decrease method and controlling input aimed at a gradient information set of parameters to be set, a hidden-layer weight coefficient and an output-layer weight coefficient of the BP neural network are updated online in real time, and parameters of the controller are self-set on the basis of the partialdeviation information. The method can be used to overcome difficulty in online parameter setting of the controller, and has a good control effect for the MIMO system.

Description

technical field [0001] The invention belongs to the field of automatic control, and in particular relates to a parameter self-tuning method of a MIMO full-format model-free controller based on partial derivative information. Background technique [0002] The control problem of MIMO (Multiple Input and Multiple Output) system has always been one of the major challenges in the field of automation control. [0003] Existing implementations of MIMO controllers include MIMO full-format model-free controllers. MIMO full-format model-free controller is a new type of data-driven control method, which does not rely on any mathematical model information of the controlled object, but only relies on the input and output data measured by the MIMO controlled object in real time for controller analysis and design, and The implementation is simple, the calculation burden is small and the robustness is strong, and the unknown nonlinear time-varying MIMO system can also be well controlled, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 卢建刚李雪园
Owner ZHEJIANG UNIV
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