A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system

Abstract

A self-tuning control scheme using fuzzy logic has been studied for a pilot pressure regulating system. In this hierarchical control technique, a rulebase supervisory fuzzy system is designed to tune the input scaling factor (SF) of a direct fuzzy system according to the process condition. The proposed controller design concentrates more on improving the robustness and stability of the controller during process disturbances and changes in operating level. The proposed control scheme is implemented in an ARM7 microcontroller based embedded target board to study its applicability for real time pressure control application. The performance of the developed control scheme is compared with classical fuzzy controller under different operating level and process disturbance. Results show that the proposed self-tuning fuzzy controller outperforms the conventional method for pressure regulation.Reference to this paper should be made as follows: Kanagaraj, N., Sivashanmugam, P. and Paramasivam, S. (2010) 'A simple self-tuning scheme using fuzzy logic for a non-linear pressure regulating system', Int. He is also a Reviewer for many IEEE journals, Acta Press, Inderscience journals, Elsevier journals, Hindwai journals and IEEE conferences. His interests include power electronics, AC motor drives, DSP-and FPGA-based motor controls, powerfactor correction, magnetic design, fuzzy logic, neural networks and controller design for wind energy conversion systems.