Title: Design of PID controller for magnetic leviation system using modified gravitational search algorithm
Authors: Ankush Rathore; Harish Sharma; Manisha Bhandari
Addresses: Department of Electronics Engineering, Rajasthan Technical University, Kota, Rajasthan, India ' Department of Computer Science, Rajasthan Technical University, Kota, Rajasthan, India ' Department of Electronics Engineering, Rajasthan Technical University, Kota, Rajasthan, India
Abstract: Gravitational search algorithm (GSA) is a swarm intelligence-based algorithm which is inspired from the law of motion and law of gravity. GSA leads to the loss of the exploitation capability. To find a trade-off between exploration and exploitation capabilities of GSA, a modified gravitational search algorithm is proposed namely exponent inertia weight-based GSA (EIWGSA). The proposed algorithm maintains a proper balance between the exploitation and exploration skills of GSA by introducing an exponent inertia weight (EIW) parameter. The proposed algorithm is implemented over 15 benchmark functions and compared with basic GSA, BBO and PSO algorithm. Then, the MGSA algorithm is applied to design of PID controller for the magnetic leviation system over a wide difference operating air gap as 3 mm, 10 mm and 17 mm.
Keywords: gravitational search algorithm; GSA; swarm intelligence; inertia weight; magnetic leviation system.
International Journal of Computational Systems Engineering, 2017 Vol.3 No.3, pp.124 - 132
Received: 20 Jun 2016
Accepted: 04 Sep 2016
Published online: 15 Sep 2017 *