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PID Controller Design Using Exact Model Matching and Multiobjective Optimization with GA
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Abstract: This paper presents design methodology for PID controller using Exact Model Matching (EMM) approach and multiobjective optimization with GA. The main objective is to design such a controller that can mimic both static and dynamic behaviour of user defined linear model. Here, we use software based approach in MATLAB environment for designing linear PID and also optimizing it using multiobjective optimization based on Genetic Algorithm (GA). Simulation results confirm the usefulness of multi-objective optimization based GA approach for designing linear PID controller to have better servo-regulator trade-off.
Keyword: Linear PID controller, Genetic Algorithm, exact model matching, Multi-objective Optimization.
Keyword: Linear PID controller, Genetic Algorithm, exact model matching, Multi-objective Optimization.
How to Cite:
[1] Rahul Kumar, Shiv Narayan, “PID Controller Design Using Exact Model Matching and Multiobjective Optimization with GA,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2016.4630
