title: Tuning of an optimal fuzzy PID controller with stochastic algorithms for networked control systems with random time delay.
abstract: 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.
authors.affiliation: Department of Power Engineering, Jadavpur University, Kolkata-700098, India. indranil.jj@student.iitd.ac.in
authors.forename: Indranil
authors.initials: I
authors.lastname: Pan
authors.forename: Saptarshi
authors.initials: S
authors.lastname: Das
authors.forename: Amitava
authors.initials: A
authors.lastname: Gupta
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D017143:Fuzzy Logic; D007221:Industry / Q000379:methods*; D016571:Neural Networks, Computer; D011897:Random Allocation; D013269:Stochastic Processes