Authors: Harsh Deol; Hossam A. Gabbar
Addresses: Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, L1H 7K4 ON, Canada ' Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North, Oshawa, L1H 7K4 ON, Canada
Abstract: This paper presents intelligent control design using self-tuning fuzzy logic control technique. The proposed adaptive control design is used to maintain system parameters to be within design limits, which provided means to improve the efficiency of the overall control system. The proposed self-tuning control system is applied on breathing air control systems in nuclear power plant which was recommended to maintain system pressure within design limits. System dynamics were studied, transfer functions were built and controlling parameters were established to develop system model in Simulink. Relationship to system pressure, steady-state error, Kp, Ki and Kd was studied and used to build fuzzy controller. Controller was implemented and simulation results demonstrated that self-tuning fuzzy PID controller has better control, precision and performance in maintaining system pressure with reduced overshoot, rise time, settling time and steady state error compared against conventional PID controller. Fuzzy PID controller also proved to be huge cost saver for the company in long run.
Keywords: fuzzy PID control; fuzzy logic controllers; FLCs; fuzzy control; control system design; nuclear power plants; NPP; nuclear energy; air breathing systems; intelligent control; self-tuning control; adaptive control; system dynamics; transfer functions; parameter control; simulation.
International Journal of Intelligent Systems Technologies and Applications, 2015 Vol.14 No.1, pp.70 - 89
Available online: 05 Oct 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article