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Intelligent Fuzzy-PID Hybrid Control for Temperature of NH3 in Atomization Furnace


Affiliations
1 Department of Electrical Engineering, B.H.S.B.I.E.T., Lehragaga, India
 

This paper presents a systematic approach for the design and implementation of temperature controller using Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID controller parameters for a previously identified process plant. Results indicate that the proposed algorithm significantly improves the performance of the chemical plant. It is anticipated that designing of PID based fuzzy controller using proposed intelligent techniques would dramatically improves the speed of response of the system, Rise time and settling time would be reduced in magnitude in the intelligent scheme as compared with conventional PID controller.

Keywords

Process Plants, Steam Temperature Control, Industrial System, Multiobjective Control, Optimal-Tuning, PID Control Fuzzy Logic Control, Genetic Algorithms, Nonlinear Control, Optimal Control, PID Control.
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  • Intelligent Fuzzy-PID Hybrid Control for Temperature of NH3 in Atomization Furnace

Abstract Views: 104  |  PDF Views: 1

Authors

Rakesh Kumar
Department of Electrical Engineering, B.H.S.B.I.E.T., Lehragaga, India
H. S. Dhaliwal
Department of Electrical Engineering, B.H.S.B.I.E.T., Lehragaga, India
Ram Singh
Department of Electrical Engineering, B.H.S.B.I.E.T., Lehragaga, India

Abstract


This paper presents a systematic approach for the design and implementation of temperature controller using Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID controller parameters for a previously identified process plant. Results indicate that the proposed algorithm significantly improves the performance of the chemical plant. It is anticipated that designing of PID based fuzzy controller using proposed intelligent techniques would dramatically improves the speed of response of the system, Rise time and settling time would be reduced in magnitude in the intelligent scheme as compared with conventional PID controller.

Keywords


Process Plants, Steam Temperature Control, Industrial System, Multiobjective Control, Optimal-Tuning, PID Control Fuzzy Logic Control, Genetic Algorithms, Nonlinear Control, Optimal Control, PID Control.