Department of Power Engineering, Jadavpur University, Kolkata-700098, India.
ISA Trans. 2011 Jan;50(1):28-36. doi: 10.1016/j.isatra.2010.10.005. Epub 2010 Nov 11.
An optimal PID and an optimal fuzzy PID have been tuned by minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared controller output for a networked control system (NCS). The tuning is attempted for a higher order and a time delay system using two stochastic algorithms viz. the Genetic Algorithm (GA) and two variants of Particle Swarm Optimization (PSO) and the closed loop performances are compared. The paper shows that random variation in network delay can be handled efficiently with fuzzy logic based PID controllers over conventional PID controllers.
已经通过最小化积分时间乘以绝对误差 (ITAE) 和控制器输出的平方来调整最优 PID 和最优模糊 PID，以用于网络控制系统 (NCS)。使用两种随机算法，即遗传算法 (GA) 和两种变体的粒子群优化 (PSO)，尝试对高阶和时滞系统进行调整，并比较闭环性能。本文表明，基于模糊逻辑的 PID 控制器可以比传统 PID 控制器更有效地处理网络延迟的随机变化。
