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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective FunctionsBy Laware A.R., Talange D.B., Bandal V.S.
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article →