二次型单神经元自适应算法在电动机控制中的应用

Application of Quadratic Single Neuron Adaptive Algorithm in Motor Control

针对直流电动机调速系统现有控制方法存在PID控制器参数固定而导致控制效果差的问题,提出了二次型单神经元自适应PID控制算法,即在加权系数的调整中引入二次型性能指标,通过计算控制律可以得到所期望的优化效果。Matlab仿真结果表明,该算法可改善控制系统的动态过程品质,降低超调量,缩短稳定时间,并且有一定的抗干扰能力。

In view of problem that current control method of speed-regulation system of DC motor has poor control effect caused by fixed parameters of PID controller,the paper put forward an adaptive PID control algorithm with quadratic single neuron,namely quadratic performance indexes was introduced in adjustment of weighting coefficients,and expecting optimization effect was gotten by calculating control law.The Matlab simulation result showed that the method can improve dynamic process performance of control system,reduce overshoot,shorten settling time and has some certain anti-interference ability.