遗传优化PID整定算法在阀门定位器中的应用

Application of PID tuning algorithm based on genetic optimization in valve positioner

电气阀门定位器调节阀门开度的PID控制过程容易出现较大的超调,通过自然泄气或增加反作用回调阀位,会对系统的鲁棒性和控制效率产生较大影响。提出一种遗传优化的PID整定算法,基于继电反馈法获得系统PID参数的大致范围,并利用改进遗传算法进行PID参数寻优,使系统接近无超调控制,提高控制精度,缩短调节时间。系统获得PID参数用于控制气动调节阀,超调量可控制在0.6%,调节时间相比于传统PID算法缩短66%。仿真和实验结果表明,该整定算法能够实现稳、准、快的控制方式,为优化电气阀门定位器的控制策略提供了一种新的思路。

When electric-pneumatic valve positioner regulates the valve opening,large overshoot will be generated in the PID process.Natural deflating or adding anti-reaction will be adopted to adjust the valve position,but the system robustness and control efficiency will be greatly affected.A genetic optimization PID tuning algorithm is proposed in this paper,based on the relay feedback method to estimate the system PID parameters roughly,then the improved genetic algorithm is used to optimize the PID parameters.The proposed methods enable the system to realize control without overshoot,improve the control accuracy,and shorten the adjustment time.In the process of controlling the pneumatic regulating valve with PID parameters obtained by this system,the overshoot can be controlled under 0.6%,and the adjusting time can be shortened by 66%compared with the traditional PID algorithm.Simulation and experiment results show that the proposed algorithm can realize stable,accurate and fast control mode,and this idea is proposed to optimize the control strategy of electric-pneumatic valve positioner.