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Sliding mode robust control method of discrete time delay uncertain system

A control method and time-delay technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of falling into local extremum and unable to find the global optimal solution, etc.

Active Publication Date: 2017-03-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Among them, the particle swarm optimization algorithm has the advantages of simple structure, easy implementation, and fast convergence speed, but it is easy to fall into local extremum and cannot find the global optimal solution.

Method used

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  • Sliding mode robust control method of discrete time delay uncertain system
  • Sliding mode robust control method of discrete time delay uncertain system
  • Sliding mode robust control method of discrete time delay uncertain system

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Embodiment Construction

[0055] The present invention will be further explained below in conjunction with the accompanying drawings.

[0056] Such as figure 1 As shown, a sliding mode robust control method for discrete time-delay uncertain systems uses the multi-group chaotic simulated annealing particle swarm optimization algorithm to optimize the structural parameters of the support vector regression machine; the system prediction model is given by the combined kernel function support vector regression machine ; A quasi-integral sliding mode surface that can ensure the global robustness of the entire dynamic process is designed; the control law is solved by a new type of sliding mode reaching law, and the accessibility of the sliding mode can be guaranteed. For the robust control of a class of uncertain discrete-time systems with state time-delay, the following specific steps are included:

[0057] Step 1) Determine the uncertain system with internal perturbation, external disturbance and known con...

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Abstract

The present invention discloses a sliding mode robust control method of a discrete time delay uncertain system. A multi-population chaotic simulated annealing particle swarm optimization algorithm is used to optimize a support vector regression machine (SVR) structure parameter, a combined kernel function support vector regression machine is used to give a system prediction model, a control law is solved through a novel sliding mode reaching law, and the reachability of a sliding mode can be guaranteed. The method is used for the robust control of uncertain discrete system with state time delay.

Description

technical field [0001] The invention relates to a sliding mode robust control method of a discrete time-delay uncertain system, belonging to the technical field of robust control of the time-delay uncertain discrete system. Background technique [0002] In engineering practice, due to the errors in the modeling process and the interference in the operation process, these uncertain factors deeply affect the final control effect of the discrete control system. In addition, with the increasingly complex structure of the actual discrete control system, time delay inevitably exists in the process of signal transmission, calculation and solution, remote control, etc. It may cause system instability and other consequences. Therefore, the analysis and design of robust control algorithms for time-delay discrete uncertain systems has become an engineering application problem to be solved urgently. [0003] Sliding mode control has strong robustness to uncertain factors such as param...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 杨蒲郭瑞诚刘剑慰董艳马犇
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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