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...
Saved in:
Main Authors | , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
28.03.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |