摘要
本文主要利用粒子群优化算法(PSO)确定输送机系统速度控制中的最佳PID控制器增益。该项目通过三菱Q系列UDV PLC实现,该PLC带有多个编码器传感器和一个内置以太网模块来监控反馈。为了验证该方法的性能,将PSO离线确定的最优增益应用于模拟器和实际模型。实验结果表明,与其它方法相比,所提出的基于粒子群算法的PID控制器具有较低的暂态波动和较小的稳态误差。
This work focuses on use of particle swarm optimization(PSO)to identify the optimal PID controller gains in speed control of a conveyor system.A proposed method is implemented on Mitsubishi Q series-UDV PLC with a number of encoder sensors and a built-in Ethernet module to monitor the feedback.To verify the performance of the proposed technique,we apply the optimal gains,which are determined ofline by PSO,to the simulator and actual model.The experimental results show that the proposed PSO based PID controller provides lower transient fluctuation and smaller steady-state error compared to other previous approaches.
出处
《变频器世界》
2021年第1期91-94,共4页
The World of Inverters
基金
基于双目识别的农用采摘机器人控制系统设计及其关键技术研究基金号(KJQN202005401)。
