基于模糊自整定粒子群算法的多圆盘过滤机槽体液位控制系统

Liquid Level Control System of Multi-disk Filter Tank Based on Fuzzy Self-tuning Particle Swarm Optimization Algorithm

关键词:  多圆盘过滤机  液位控制  模糊逻辑  粒子群算法

Key Words:multi-disk filter  liquid level  fuzzy logical  particle swarm optimization

摘要:槽体液位是多圆盘过滤机白水回收效率的重要影响参数，但多圆盘过滤机槽体液位控制存在非线性、时滞等问题，同时由于过滤圆盘旋转使液位产生波动，从而液位检测值存在波动，应用常规PID控制难以达到理想控制精度。本课题在分析粒子群优化（Particle Swarm Optimization，PSO）算法的基础上，提出了一种基于模糊逻辑的参数自整定粒子群算法，用于液位控制PID控制器的参数优化，实现对槽体液位的精准控制。MATLAB/Simulink仿真实验表明，与常规PID控制、基于标准PSO算法的PID控制相比，本控制方法具有响应速度快、超调量小、鲁棒性强的优点，能够起到良好的控制效果。本控制方法已经应用于工程实际，控制效果良好，提高了液位控制精度，能够实现液位的精准控制。

Abstract:The liquid level of multi-disk filter tank is an important influence parameter in the process of white water recovery of multi-disk filter， but the liquid level control exists the problems of nonlinear and time delay， the liquid level detection value fluctuates caused by rotary action of the filter discs， conventional PID control is difficult to achieve ideal control accuracy. On the basis of analyzing the particle swarm optimization algorithm， in this paper， a parameter self-tuning based on fuzzy logic particle swarm optimization algorithm was proposed. It was used in the PID controller parameters optimization of liquid level control system， in order to achieve the precise control of liquid level. MATLAB/Simulink simulation result showed that compared with the conventional PID control and PID control based on the standard particle swarm algorithm， this algorithm had the advantages of fast response， less overshoot， strong robustness， which could play a good part in control. This algorithm practical application received good control effect， which improved the precision of liquid level control．