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
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[0016] like figure 1 As shown, it is a flow chart of the control system parameter optimization method based on the orthogonal optimal particle swarm optimization algorithm. When optimizing a complex control system with multiple inputs, multiple outputs, multiple controllers, and multiple performance indicators, it is divided into the following steps:
[0017] (1) Controlled system analysis: analyze the system structure, analyze the input and output variables in the controlled system, determine the number of control factors in the system, and establish the main performance indicators and numbers of the system, which will be the next step. Prepare for the test;
[0018] (2) Orthogonal test analysis: first select the experimental factors of the orthogonal test, determine the test level, and list the factor level table; secondly, according to the test factors and the number of levels, select the appropriate orthogonal table; finally conduct the orthogonal test, Record the test re...
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