Design of Self-Tuning Fuzzy PI controller in LABVIEW for Control of a Real Time Process

Abstract

Pressure control systems constitute the heart of many process plants. Linguistic modeling and decisionmaking processes like fuzzy and neural controller are very much useful to control the complicated processes. An intelligent control strategy has been proposed and successfully applied to a real time water pressure control system. For the variation of set point change and load disturbance, an intelligent control scheme has been developed by integrating self-tuning scheme with fuzzy PI controller. Satisfactory industrial application results show that such a control scheme has enhanced adaptability and robustness to the complex processes. To demonstrate the performance of the self-tuning fuzzy PI controller (STFPIC), results are compared with a fuzzy PI controller (FPIC). It is observed that the proposed controller structure is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes