Abstract
This work proposes a novel Proportional-Integral-Derivative (PID) controller. The proposed controller is a modified form of the series structure of conventional PID controller. Advantage of the proposed modification is the reduction in the number of tuning parameters and faster elimination of steady-state error. Reduction in the number of tuning parameters helps in simplification of the tuning process. The proposed controller has been applied to stabilize a second-order unstable magnetic levitation plant. This work also proposes the application of Symbiotic Organisms Search (SOS) in optimizing the controller parameters. The obtained simulation results are promising and confirm that the proposed PID controller, if tuned properly, may replace the conventional PID controller in several fields of application.
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Acharya, D.S., Mishra, S.K. (2020). Parameter Optimization of a Modified PID Controller Using Symbiotic Organisms Search for Magnetic Levitation Plant. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_96
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