Semiconductor temperature control system parameter optimization method based on myxobacteria algorithm

The invention discloses a semiconductor temperature control system parameter optimization method based on a mucus algorithm. The method comprises the following steps: identifying a differential equation of the semiconductor temperature control system by adopting a least square method to obtain a par...

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Bibliographic Details
Main Authors WU HUAPING, JIANG JUN, SUN PENG, SHU SHI
Format Patent
LanguageChinese
English
Published 28.03.2023
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Summary:The invention discloses a semiconductor temperature control system parameter optimization method based on a mucus algorithm. The method comprises the following steps: identifying a differential equation of the semiconductor temperature control system by adopting a least square method to obtain a parameterized transfer function; performing excitation test, inputting a signal into the semiconductor temperature control system, and outputting a temperature change value; inputting the error value into a PID (Proportion Integration Differentiation) controller to control a semiconductor temperature control system; and performing optimization iteration on the control parameters through a myxomycete algorithm, performing annealing variation on an optimization result of the myxomycete algorithm until a new solution generated by the annealing variation replaces a global optimal solution, at the moment, enabling a fitness value of a fitness function responded by the PID controller to be global optimal fitness, and furthe
Bibliography:Application Number: CN202211550480