基于粒子群算法⁃模糊PID控制的前驱体材料反应釜pH值优化控制

pH Optimization for Precursor Reactor Based on Particle Swarm Optimization and Fuzzy PID Control

针对锂离子电池前驱体材料工业生产中反应釜pH值控制存在的非线性、时滞性以及易受干扰等控制难点,引入基于粒子群算法⁃模糊PID控制的自整定算法,采用MATLAB的simulink仿真软件对算法进行仿真,并与传统PID算法进行对比,以验证自整定算法的快速性、稳定性与鲁棒性。将该算法应用于工业实践中,并与传统PID控制进行对比,系统最大超调量、稳定时间、频率波动范围、pH波动范围均得到改善,显著提高了系统控制性能,为解决前驱体材料生产中反应釜中pH值控制提供了解决途径。

In view of the nonlinearity and time delay,as well as vulnerability to interference in the pH control of reactor in the industrial production of precursor materials for Li⁃ion batteries,a self⁃tuning algorithm based on particle swarm optimization(PSO)and fuzzy PID control was introduced.A simulation software of matlab simulink was adopted to simulate the algorithm,which was then compared with traditional PID computation for verifying that the self⁃tuning algorithm was quick,stable and robust.The application of this algorithm in the industrial practice,and the comparison with traditional PID control show that the system has been improved in terms of overshoot,stable time,fluctuation range of frequency,as well as fluctuation range of pH value.Thus,the control performance of the system has been effectively improved,which provides an effective way to solve the control problem of the reactor.