Optimization of controller parameters for a DC attraction type levitation system by evolutionary technique

Abstract

In this paper, evolutionary computation algorithms such as a novel Gravitational Search algorithm (GSA) and Real Coded Genetic Algorithm (RGA) are used to optimize the parameters of PID controller for a single actuator based DC attraction type levitation system (DCALS). A comparative study between performances of classical, GSA and RGA based nominal PID… (More)

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@article{Sarkar2014OptimizationOC, title={Optimization of controller parameters for a DC attraction type levitation system by evolutionary technique}, author={Mrinal Kanti Sarkar and Subrata Banerjee and Sakti Prasad Ghoshal and Tapas Kumar Saha}, journal={Proceedings of The 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)}, year={2014}, pages={61-65} }