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Self-adaptive sliding-mode control system of nonlinear system

A nonlinear system, adaptive sliding mode technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., to achieve the effect of solving asymptotic stability

Inactive Publication Date: 2018-06-01
DALIAN NATIONALITIES UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are relatively few methods for the analysis and design of nonlinear uncertain systems that combine LS-SVM and sliding mode variable structure control

Method used

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  • Self-adaptive sliding-mode control system of nonlinear system
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  • Self-adaptive sliding-mode control system of nonlinear system

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Embodiment 1

[0016] Embodiment 1: This embodiment proposes an adaptive control slipping modeling method or system based on Lyapunov functions for a class of nonlinear systems containing uncertainties and unknown bounded external disturbances. The nonlinear function approximation ability of LS-SVM regression is used to design a feedback linearization controller, and the sliding mode control is introduced to compensate the approximation error of LS-SVM regression and the influence of uncertain external disturbance on the system output, and the Lyapunov function is used to calculate the weight parameters of LS-SVM Finally, a simulation example is used to verify the design scheme.

[0017] 1 Problem description

[0018] Consider nonlinear uncertain systems

[0019]

[0020] in is the unknown nonlinear function, b is the unknown control gain, d is the bounded disturbance, u∈R and y∈R are the input and output of the system respectively, and n is the order of the system state. Assume is...

Embodiment 2

[0087] Embodiment 2, as the system executed by the method in Embodiment 1, this embodiment includes the following scheme:

[0088] A kind of adaptive sliding mode control system of nonlinear system, stores a plurality of instructions, and described instruction is suitable for processor to load and execute:

[0089] Approximate an ideal state feedback controller using the LS-SVM structure for the nonlinear system to construct a new feedback controller;

[0090] Approximation error and / or uncertain external disturbance compensation for LS-SVM regression by applying sliding mode control to it;

[0091] Determines the weight parameter vector at an adaptive rate.

[0092] The nonlinear system is based on using the LS-SVM structure to approximate the ideal state feedback controller to construct a new feedback controller

[0093] The nonlinear system

[0094]

[0095] in: is the unknown nonlinear function, b is the unknown control gain, d is the bounded disturbance, u∈R and y...

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Abstract

The self-adaptive sliding-mode control system of a nonlinear system. The self-adaptive sliding-mode control system belongs to the field of artificial intelligence and control, and is used for solvingthe problem of asymptotic stability of a closed-loop control system. The self-adaptive sliding-mode control system is characterized in that the self-adaptive sliding-mode control system stores a plurality of instructions, and the instructions are suitable for being loaded and executed by a processor in the steps of: adopting an LS-SVM structure to approximate an ideal state feedback controller forthe nonlinear system so as to construct a new feedback controller; applying sliding-mode control on the nonlinear system to compensate for approximate errors of LS-SVM regression and / or uncertain external interference; and determining weight parameter vectors by using a self-adaptive rate. The self-adaptive sliding-mode control system achieves the effects of fully utilizing the nonlinear functionapproximation capability of LS-SVM regression to design the feedback linearization controller, introducing the sliding-mode control for compensating for influence of the approximate errors of LS-SVMregression and / or uncertain external interference on system output, and adjusting the LS-SVM weight parameters.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and control, and relates to an adaptive sliding mode control method for nonlinear systems. Background technique [0002] Sliding mode variable structure control of nonlinear uncertain systems has always been a hot spot in the control field, and many scholars have achieved research results in this field. Since the sliding mode control of the nonlinear system requires a rough mathematical model of the known system, the dependence of the sliding mode control on the system model is increased. With the development of artificial intelligence theory, fuzzy logic and neural network are introduced into the design of sliding mode control, which effectively reduces the dependence of sliding mode control on the system model. Literature [3] studied the adaptive fuzzy sliding mode control of nonlinear system based on high-gain observer, and literature [4] studied the adaptive sliding mode control of nonl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 谢春利赵丹丹
Owner DALIAN NATIONALITIES UNIVERSITY
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