基于遗传算法的半导体制冷器非线性PID设计

针对常规线性PID对具有非线性特征的半导体制冷器温度控制系统存在快速性和超调量难以兼得、抗干扰能力差的问题,提出将非线性PID控制用于半导体制冷器温度控制的策略.通过对线性PID存在问题以及PID各增益参数与偏差信号之间非线性关系的分析,构建了增益参数的非线性函数,针对非线性函数中参数较多问题提出了自适应遗传寻优的求解方法.仿真和实验结果表明,基于此遗传算法寻优的非线性PID控制器相比线性PID控制器,调节时间缩短,超调量减小,抗干扰能力更强.

Design of Nonlinear PID Controller for Thermoelectric Cooler Temperature Control Based on Genetic Algorithm

In order to solve the problems that for the temperature control system of thermoelectric cooler with nonlinear characteristics,the conventional linear PID hardly obtains satisfactory results with the rapidity and overshoot and has poor anti-interference capability,the strategy of nonlinear PID control used in temperature control of thermoelectric cooler is proposed.According to the analysis of existing problem of linear PID and the nonlinear relationship between gain parameters of PID controller and deviation signals,the nonlinear function of each gain parameter is constructed.Then an adaptive genetic algorithm is applied to deal with the optimization problem of multiple parameters.Simulation and experiments prove that,compared with the linear PID controller,nonlinear PID controller built on the adaptive genetic algorithm has the performance of shorter setting time,smaller overshoot and stronger capability of anti-interference.