模糊免疫非线性PID控制的优化设计

在深入分析生物免疫系统中T细胞对B细胞辅助调节作用的基础上,提出了免疫反馈原理。针对非最小相位极点系统控制的难点,借鉴免疫反馈原理,结合积分控制的规律,提出了一种模糊免疫非线性PID控制方法。由于该方法中的参数确定比较复杂,利用免疫进化算法进行参数优化设计,实现了控制参数的合理设计。仿真结果表明,该方法在非最小相位极点系统控制中可行且有效,优于PID控制方法,具有更好的响应特性和抗干扰性能。

After analyzing the regulation of the T cells to the B cells in the biological immune system,the immune feedback principle is present- ed.According to the difficulty of the nonminimum phase pole system control,a fuzzy immune nonlinear PID control method is proposed based on the immune feedback principle and the nonlinear change law of the integral gain in the response process of the system.Because it is compli- cared to adjust the parameters in this method,the parameters are optimized by the immune evolutionary algorithm,and the reasonable parame- ters are got.The simulation results show the feasibility and effectiveness of the method in the nonminimum phase pole system control,and it is proved that the method is superior to PID method on the response characteristic and anti-disturbance capability.

国家863科技攻关课题基金(2002AA503020)