Tuning of Multivariable Decentralized PID Controller Using State Transition Algorithm

Implementation of State Transition Algorithm (STA) for the tuning of multivariable Proportional Integral Derivative (PID) controller is reported. Two input and two output binary distillation column plant model by Wood and Berry is considered as a benchmark. Simulations are performed for three cases...

Full description

Saved in:
Bibliographic Details
Published in:Studies in Informatics and Control 2015, Vol.24 (4), p.367
Main Authors: SARAVANAKUMAR, G., VALARMATHI, K., PALLIKONDA RAJASEKARAN1, M. PALLIKONDA, SRINIVASAN, Seshadhri, IRUTHAYARAJAN, M. WILLJUICE, BALAŞ, Valentina E.
Format: Article
Language:English
Subjects:
Algorithms
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Implementation of State Transition Algorithm (STA) for the tuning of multivariable Proportional Integral Derivative (PID) controller is reported. Two input and two output binary distillation column plant model by Wood and Berry is considered as a benchmark. Simulations are performed for three cases such as multivariable PID controller with decoupler, without decoupler and multivariable PI controller without decoupler. Integral of Time weighted Absolute Error (ITAE) and Integral of Absolute Error (IAE) are chosen as objective functions for the first case while Integral of Absolute Error alone is chosen for remaining couple of cases. Simulations are carried out for 20 independent trials by STA and STA with SBX crossover. Comparison of fitness value and time domain parameters for three cases against PBPSO is reported. Statistical performance measures of STA and STA-SBX algorithms are presented and simulation result implies that STA is a potential algorithm which provides better fitness for all the three cases and has global search capability. SBX crossover is enhanced by the consistency of the algorithm.
ISSN:1220-1766
1841-429X
DOI:10.24846/v24i4y201501