基于改进粒子群优化PID参数的风力除尘控制系统的研究

对卷接机组集中工艺风力除尘系统控制需求及工艺特点进行了研究,针对风力系统中压力和流量之间存在非线性与强耦合性的特点,以及控制系统中传统自动化科学技术(proportional plus integral plus derivative controller,PID)控制和现有的模糊PID控制自适应和鲁棒性较差、系统稳定性能不理想的问题,文中提出对角矩阵解耦方法将压力和流量进行解耦,利用改进粒子群算法(particle swarm optimization,PSO)优化参数的PID控制器对两者进行独立控制。通过仿真软件和可编程序逻辑控制器(programmable logic controller,PLC)程序对算法进行实现。位置阶跃响应实验粒子寻优实验结果表明:该方法在阶跃响应上升时间、最大超调量和响应速度上均有很好的优化效果,即时控制调整变频器频率以及阀门开度,使主风管压力波动在0. 5%～1%内,流量波动控制在0. 4%～0. 8%内。

Research on Wind Dust Control System Based on Improved Particle Swarm Optimization PID Parameters

The control requirements and process characteristics of wind dust removal system for centralized process of winding unit are studied.The characteristics of non-linearity and strong coupling between pressure and flow in wind power system are pointed out.The traditional automatic technology (proportional plus integral plus derivative controller,PID) control in control system and the existing fuzzy PID control have poor adaptability and robustness.The stability of the system is not ideal.A diagonal matrix decoupling method is proposed to decouple the pressure and flow.The improved particle swarm optimization (PSO) is used to optimize the parameters of the PID controller to control the pressure and flow independently.The algorithm was achieved through simulation software and programmable logic controller Programmable logic controller (PLC) program.The experimental particle optimization results of position step response show that the method has a good optimization effect on step response rising time,maximum overshoot and response speed.The frequency of frequency converter and valve opening can be adjusted in real time,so that the pressure fluctuation of main air duct is within 0.5%~1% and the flow fluctuation is within 0.4%~0.8%.