Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i12/89939
Year: 2016, Volume: 9, Issue: 12, Pages: 1-6
Original Article
S. Padma1* and K. Latha2
1Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai – 600119, Tamil Nadu, India; [email protected] 2Department of Instrumentation Engineering, Anna University, MIT Campus, Chennai – 600 044, Tamil Nadu, India; [email protected]
*Author for correspondence
S. Padma
Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai – 600119, Tamil Nadu, India; [email protected]
Background/Objectives: The major objective of this work is to propose PI controller tuning for Two Input Two Output (TITO) process models using the Teaching Learning Based Optimization (TLBO) algorithm. Methods/Statistical analysis: In this work, the dimension of the heuristic search is assigned as four (Kp1, Ki1, Kp2, Ki2). A weighted sum of objective function is considered in order to achieve the optimal controller values. The proposed method is tested using the Wardle and Wood model and Vinante and Luybenmodel. The efficiency of the proposed method has been validated through a comparative study with the PSO, BFO and FA existing in the literature. Findings: The result confirms that, TLBO tuned controller offers better result compared with other heuristic methods considered in this study for both the reference tracking and disturbance rejection operations. Applications/Improvements: In future, this method can be implemented for 2x2 and 3x3 MIMO systems existing in literature.
Keywords: Distillation Process, PI Controller, TITO Model, TLBO Algorithm, Validation
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