PID Control for Nonlinear Processes
IntechOpen eBooks(2023)
摘要
This chapter presents a proportional-integral-derivative (PID) Takagi-Sugeno fuzzy system controller that can be trained by the particle swarm optimization-cuckoo search (PSOCS) technique to control nonlinear multi-input multi-output (MIMO) systems. Instead of the standard methods that are widely used in the literature, the PSOCS is used to adjust all of the PID parameters by the minimization of a given objective function. A nonlinear MIMO system has been selected to be controlled by this controller. The simulation results show the notable control accuracy and generalization ability of this MIMO controller. Finally, a comparative study with a PSO algorithm and CS algorithm shows the superiority of the PSOCS over these two optimization methods in terms of guaranteeing the desired performance.
更多查看译文
关键词
pid control,processes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要