A modified bacterial foraging optimised PID controller for time delay systems. (1st January 2014)

• Record Type: Journal Article
• Authors: Mohanty, Chandra Sekhar; Khuntia, Partha Sarathi; Mitra, D.
• Is Part Of: International journal of advanced intelligence paradigms. Volume 6:Number 4(2014)
• Page Start: 255
• Page End: 271
• Publication Date: 2014-01-01
• Subjects: PID controller -- particle swarm optimisation -- PSO -- bacterial foraging optimisation -- BFO -- modified bacterial foraging optimisation -- SISO systems; Artificial intelligence -- Periodicals; Machine theory -- Periodicals; Fuzzy logic -- Periodicals; 006.305
• DOI: 10.1504/IJAIP.2014.066982
• Languages: English
• ISSNs: 1755-0386

Abstract

This paper presents design of an optimised PID controller for single input single output (SISO) systems with time delay. The three control parameters K p, K i and K d of PID controller are estimated by tuning the PID controller using different intelligent algorithms. Bacterial foraging optimisation (BFO) and particle swarm optimisation (PSO) is the topic of recent research. BFO is an intelligent algorithm based on foraging and chemotactic process of bacteria. Similarly, PSO mimic is the social behaviour of the individuals in a bird flock or fish school while searching for the best food location. In this article, a new algorithm named modified bacterial foraging optimisation (combining both the advantages of BFO and PSO) is implemented for better tuning of PID controller to control the SISO systems with time delay. The simulation is performed in Matlab/Simulink environment.