一种基于LS-SVM与PID复合的逆控制系统

针对逆系统中非线性逆模型辨识困难的问题,研究了基于最小二乘支持向量机(LS-SVM)的逆模型辨识及控制,并用微粒子群算法(PSO)优化LS-SVM的参数和核函数参数。提出了一种由LS-SVM的逆模型与PID结合的复合控制系统,由LS-SVM辨识非线性系统的逆模型作为前馈控制器,形成直接逆控制。同时,由PID控制器构成反馈控制,克服直接逆控制鲁棒性不强的缺陷。仿真研究结果表明LS-SVM的逆模型辨识能力强,该复合控制系统具有比基于最近邻聚类的RBF神经网络逆控制系统更优的动态跟踪性能,更好的抗干扰能力和鲁棒性。

A inverse control system based on least squares support vector machine and PID

Aiming at the problems of the inverse model identification in inverse system method,the realization of inverse system identification and control using least squares support vector machine(LS-SVM) were studied.A methodology,based on particle swarm optimization algorithm(PSO),for parameters selection of least squares support vector machine was proposed.A compound control strategy combing LS-SVM inverse system with PID controller was proposed.LS-SVM was used to identify the inverse model of nonlinear system,an...