基于单神经元自适应PID控制的高压断路器永磁直线伺服电机操动机构的研究

高压断路器永磁直线伺服电机操动机构采用直线电机驱动断路器操作杆,带动机构运动,实现分合闸操作,具有良好的快速响应能力及控制性能.该伺服系统采用数字式双闭环控制,内环为电流环,采用PI控制,外环为速度环,采用单神经元自适应PID控制,通过建立直线伺服电机操动机构控制系统仿真模型,详细分析了单神经元自适应PID控制算法以及数学模型,并建立了以输出误差二次方为性能指标的单神经元自适应PID控制器模型.并分别用传统PID与单神经元PID控制算法,对高压断路器触头运动特性控制过程进行了仿真.结果表明,单神经元自适应PID控制器能够较好的实现触头速度的跟踪控制,使其按理想运动特性曲线运动,实现最优操作,该算法是一种较理想、有效的控制方法.

Research of Selfadapting Single Neuron PID Control in Permanent Magnetic Linear Servo Motor Operating Mechnism of High Voltage Circuit Breaker

Selfadapting single neuron PID Controller used in High Voltage Circuit Breaker linear servo motor operating mechanism is designed , operating arm to be drove by linear-servo motor to realize the opening and closing operation, by which the quicker response ability and the better performance can be gained. In this servo system, the controller consists of two parts, internal and external loop. Internal loop is used as an adjuster for the currents,in which the conventional PI algorithm is used by changing the parameters of the controller. External loop is designed to track the speed, in which the selfadapting single neuron PID control algorithm is emploied. Then the control system simulation model of linear servo motor operating mechanism was developed. Control algorithm of single neuron PID and its mathematical model is discussed in detail. A single neuron PID controller mathematical model is formed by taking values of output error square as performance index. Traditional PID and single neuron PID Simulation are used separately in the analysis of moving contact movement control during the opening and closing of the High Voltage Circuit Breaker. Test results show that single neuron PID control strategy can achieve the speed tracking, improve the effectiveness of the control, and make the movement curve same as the defined one. This control strategy is a better control strategy for contact movement control to High Voltage Circuit Breaker.