Decoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic Algorithms

Abstract

Problem statement:This study is to maintain the interacting liquid level and pH parameter at a desired value. The purpose of decoupling and linearization algorithm is to prevent interaction and making the system linear. Approach: In this study Hirchorn's and Genetic Algorithms (GA) are proposed to make the system linear, non interacting system. This study presents the performance comparison of Hirschorn's (decoupling and linearization algorithm) and Genetic Algorithms (GA) for a approximated model of Interacting level and pH non-linear process. Results: Closed loop simulation was carried out incorporating the above algorithm and the results are compared. Control performance with Hirschorn's is found to give better results than with GA. Conclusion: This study demonstrates the effectiveness of Hirchorn's algorithm in MIMO nonlinear interacting process. Obtained control laws for Hirschorn's algorithm give improved values for Settling Time (Ts) and Integral Square Error (ISE).

Design and Analysis of ANFIS – Based MPPT Method for Solar Photovoltaic Applications

“…These controllers exhibit fast response with good efficiency at all weather conditions mak-ing it more suitable for nonlinear systems like SPV modules. The rules and the membership functions for the ANFIS controller are autodesigned through the learning/training process, which brings down the design complexity in the fuzzy controller [10][11][12][13]. Solar PV modules function by converting the light energy in the photons into electrical energy, so irradiance is an unrulable input.…”