改进PID算法在浆液PH值控制系统中的应用

Application of Improved PID Algorithm in the Slurry PH Value Control System

摘要:

为了对浆液pH值控制系统进行全面的优化控制,使整个系统在最佳状态下运行,提出了一种改进PID算法;该算法利用单神经元具有自适应、自学习能力的优势,将神经元加入到PID算法中后,改进了控制系统稳定性和控制性能较差的问题；并结合浆液pH值控制系统的特点；设计了算法的具体流程;最后,利用改进前后的两种算法对优化问题进行了仿真分析,结果表明单神经元自适应PID算法具有更好的优化效果。

Abstract:

For the optimization of slurry pH value control system to conduct a comprehensive control, the whole system run in the best state, an improved PID algorithm.The algorithm using single neuron with the advantages of adaptive, self-learning ability, after the neurons into the PID algorithm, the improved control system stability and control performance is poor;Combined with the characteristics of slurrypH value control system, designs the concrete process of the algorithm.In the end, both before and after using the improved algorithm for optimization problems are analyzed in the simulation, the results show that the single neuron adaptive PID algorithm has better optimization effect.