Title: Hybrid genetic algorithm-swarm intelligence-based tuning of temperature controller for continuously stirred tank reactor
Authors: Aditya Sarjak Kantha; Ayush Utkarsh; Ravi Kumar Jatoth
Addresses: Department of Chemical Engineering, National Institute of Technology, Warangal, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India
Abstract: This paper presents a hybrid model of swarm intelligence and genetic algorithm for tuning of PID controller parameters for a temperature control of continuously stirred tank reactor which is generally used to carry out chemical reactions in an industry on a large scale. A time domain study of different methods for tuning of PID controller parameters was performed and it was found that particle swarm optimisation (PSO) performance was better than genetic algorithm (GA). But in recent literature hybrid mechanisms are used for tuning of controllers and a hybrid of GA-PSO gave the better output results in the observations hence it is proposed here to control the temperature of continuous stirred tank reactor.
Keywords: CSTR control; continuously stirred tank reactors; PID control; PSO; particle swarm optimisation; GAs; hybrid GA-PSO; temperature optimisation; genetic algorithms; swarm intelligence; controller tuning; temperature control; modelling.
International Journal of Modelling, Identification and Control, 2016 Vol.25 No.3, pp.239 - 248
Available online: 06 Apr 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article