Tuning of PID Controller for Biochemical Reactor using IPSO Algorithm

Author(s):
Ompriyadharshni. K, St. Joseph’s College of Engineering, Chennai 600119, Tamilnadu, India; Jabathira. A ,St. Joseph’s College of Engineering, Chennai 600119, Tamilnadu, India; Maheshwari. B ,St. Joseph’s College of Engineering, Chennai 600119, Tamilnadu, India; Akshaya. N ,St. Joseph’s College of Engineering, Chennai 600119, Tamilnadu, India
Keywords
Biochemical Reactor, PID, PSO, Scheduling
Abstract
This paper addresses an improved PSO algorithm based PID controller tuning for a model biochemical reactor. Biochemical reactor is a highly nonlinear process and exhibits multiple steady states. To increase the productivity and to achieve the required performance, it is necessary to use optimised PID controller parameters. The work presented in this article, deals with the I-PD based controller design using PSO algorithm in order to minimise the effect of proportional and derivative kick. The gain (set point) scheduling is simulated with a switching unit controlled by a comparator. The simulation result shows a better performance for set point tracking and disturbance rejection.
Reference
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[2]	Chang,	W-D., and Shin, S-P. (2010), PID controller	design of nonlinear systems using an improved particle swarm optimization approach , Communications in Nonlinear Science and Numerical Simulation, Elsevier, Volume 15 (11), 3632-3639.
[3]	Giriraj Kumar, S.M., Jain, R., Anantharaman, N., Dharmalingam, V., and Sheriffa Begam, K.M.M.(2008). Genetic Algoritha Based PID Controller Tuning for a Model Bioreactor, Indian	Institute	of Chemical Engineers, Vol.50, No.3, 214-226.
[4]	Hiroya Seki, and Takashi Shigemasa. (2010). Retuning Oscillatory PID control loops based on plant operation data, Journal of Process Control, 20, 217-227.
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[9]	Rajinikanth,V., Latha, K.(2010). Identification and Control of Unstable Biochemical	Reactor, International Journal of Chemical Engineering and Applications, Vol. 1, No. 1,106 -111.
[10]	Sabura Banu, U., and Uma,G.(2008).Fuzzy Gain Scheduled Continuous Stirred Tank Reactor with Particle Swarm Optimization based PID control Minimizing Integral Square Error, Instrumentation Science & Technology, Volume 36 (4), 394 – 409.
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Other Details
Paper ID: GRDCF005004
Published in: Conference : National Conference on Recent Trends in Electrical Engineering
Page(s): 24 - 29
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