I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm: A Study Based on Various Error Criterion. (18th January 2012)

• Record Type: Journal Article
• Authors: Rajinikanth Rajinikanth, V. V.; Latha Latha, K. K.
• Other Names: Ventura Ventura Sebastian Sebastian Academic Editor.
• Is Part Of: Applied computational intelligence and soft computing. Volume 2012(2012)
• Publication Date: 2012-01-18
• Subjects: Computational intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• DOI: 10.1155/2012/329389
• Languages: English
• ISSNs: 1687-9724

Abstract

Abstract : This paper proposes a novel method to tune the I-PD controller structure for the time-delayed unstable process (TDUP) using Bacterial Foraging Optimization (BFO) algorithm. The tuning process is focussed to search the optimal controller parameters (K p, K i, K d ) by minimising the multiple objective performance criterion. A comparative study on various cost functions like Integral of Squared Error (ISE), Integral of Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), and Integral of Time weighted Absolute Error (ITAE) have been attempted for a class of TDUP. A simulation study for BFO-based I-PD tuning has been done to validate the performance of the proposed method. The results show that the tuning approach is a model independent approach and provides enhanced performance for the setpoint tracking with improved time domain specifications.