泵控马达调速系统单神经元PID控制参数优化的改进算法  

Improved Algorithm for PID Control Parameters Based on Single Neuron Optimization of Pump-control-Motor Speed Governing System

作　　者：刘仕平[1] 毛青春[1] 贾建涛[1] 

机构地区：[1]华北水利水电学院机械学院,河南郑州450008

出　　处：《液压气动与密封》2007年第2期12-14,共3页Hydraulics Pneumatics & Seals

摘　　要：针对常规PID控制的不足以及泵控马达调速系统动态性能差的特点,提出了一种基于单神经元的自适应PID控制器,并结合误差二次型最优控制理论对单神经元的性能指标进行改进,推导出相应的单神经元输入权值调整算法。仿真结果表明,改进的单神经元自适应PID控制器具有更快的响应特性和良好的动态特性,其控制效果明显优于常规的PID控制器,将其应用于泵控马达调速系统是行之有效的。Aims at the shortage of the normal PID controller and characteristics of dynamic state function of the pump-control-motor speed governing system, a PID controller according to single neuron is introduced, the adaptation law for adjusting the weights of the single neuron is proposed by using the quadratic form of the system error to improve the function index sign of the single neuron. The imitation express, the improved PID controller according to single neuron has the more quick response characteristics and better dynamic state, it controls the result better than the normal PID controller. It is effective used in the pump-control-motor speed governing system.

关 键 词：泵控马达 单神经元 PID控制 二次型 

分 类 号：TH137[机械工程—机械制造及自动化]