Authors: K. Valarmathi, J. Kanmani, D. Devaraj, T.K. Radhakrishnan
Addresses: Department of Instrumentation and Control Engineering, Kalasalingam University, Krishnankoil, Tamilnadu, India. ' Department of Instrumentation and Control Engineering, Kalasalingam University, Krishnankoil, Tamilnadu, India. ' Department of Electrical and Electronics Engineering, Kalasalingam University, Krishnankoil, Tamilnadu, India. ' Department of Chemical Engineering, National Institute of Technology, Trichy, Tamilnadu, India
Abstract: This paper presents an application of particle swarm optimisation (PSO) for system identification and tuning of the proportional integral (PI) controller in pH process. Two independent swarms are used sequentially for system identification and PI controller tuning. The proposed PSO utilises self tuning regulator to search for the changes in system parameters and to calculate the corresponding controller parameters. The self tuning regulator has a parameter identification function and requires neither prior knowledge nor training data for learning. Once the process parameters are identified, another PSO is applied to find the optimal controller setting. The performance of the proposed PSO approach is compared with the traditional Ziegler Nichols tuning and internal model control for various set point and trajectory response of the pH process. The simulation results show that the cascaded PSOs are very effective to adapt the controller to dynamic plant characteristic changes in pH process.
Keywords: PI controllers; system identification; particle swarm optimisation; PSO; pH process; Ziegler Nichols tuning; internal model control; swarm intelligence; self tuning regulator; optimal control; simulation; proportional-integral controllers.
International Journal of Computer Aided Engineering and Technology, 2011 Vol.3 No.5/6, pp.443 - 457
Published online: 06 Sep 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article