Parameter optimization method for control system based on orthogonal optimization and particle swarm optimization method

A particle swarm algorithm and control system technology, applied in the field of intelligent control, to achieve the effect of improving performance and speeding up optimization speed
CN104062901AActive Publication Date: 2014-09-24HOHAI UNIV +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HOHAI UNIV
Publication Date
2014-09-24

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Abstract

The invention discloses a parameter optimization method for a control system based on orthogonal optimization and a particle swarm optimization method. The parameter optimization method for the control system comprises the steps that an orthogonal optimization method and the particle swarm optimization method are combined, the optimizing range of each controller parameter, the sensitivity relation between the controller parameters and the weight relation of performance indexes are determined through an orthogonal test, optimization is carried out by applying the particle swarm optimization method on this basis, loop iteration is carried out, and an optimization result is obtained. According to the method, a particle swarm is guided by the result of orthogonal optimization for optimization, optimizing speed is high, the optimization direction is clear, and the optimization effect is remarkable.
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Description

technical field

[0001] The invention belongs to the field of intelligent control and relates to a comprehensive optimization algorithm of comprehensive orthogonal optimization theory and particle swarm optimization algorithm. Background technique

[0002] The optimization of control system parameters has always been a key issue in the field of control research. There are two main categories of traditional controller parameter optimization methods. One is the theoretical calculation optimization method, which is based on the mathematical model of the controlled object, and directly obtains the controller tuning parameters through calculation, but this type of method needs to know the detailed mathematical model of the control system, the calculation is complicated and the obtained optimization effect is not not ideal. The other is the widely used engineering tuning method in engineering, that is, through experience and trial and error, each controller parameter is tuned suc...

Claims

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