Volume : VII, Issue : I, January - 2017
Electric Vehicles intelligent speed control, A comparison between COA, ICA and Genetic Algorithms performance
Mostafa Bayati
Abstract :
In this paper several intelligent speed control methods for Electrical vehicles (EVs) have been studied. We investigated in EVs physical and control systems structure to propose a powerful method for speed controller design. We examined three powerful optimization algorithms performances to show the abilities of each method and select the best choice for utilize in EVs speed control system. Simulations have been performed in MATLAB environment. We will show that the best choice is Cuckoo Optimization Algorithm (COA) with fast and smoothness in output response according to the simulation results.
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DOI : 10.36106/ijar
Cite This Article:
Mostafa Bayati, Electric Vehicles intelligent speed control, A comparison between COA, ICA and Genetic Algorithms performance, Indian Journal of Applied Research,Volume : 7 | Issue : 1 | JANUARY 2017
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Mostafa Bayati, Electric Vehicles intelligent speed control, A comparison between COA, ICA and Genetic Algorithms performance, Indian Journal of Applied Research,Volume : 7 | Issue : 1 | JANUARY 2017
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