PI gain optimisation and artificial intelligence based direct torque control of induction motor equipped electric vehicle drives Online publication date: Fri, 07-Jul-2023
by Nitesh Tiwari; Shekhar Yadav; Sabha Raj Arya
International Journal of Electric and Hybrid Vehicles (IJEHV), Vol. 15, No. 2, 2023
Abstract: The objective of this paper is to design DTC-based IM drives for EV applications by using PI and artificial intelligent controllers. Two artificial intelligent controllers namely ANN and ANFIS are compared in this paper. The designing process of the ANFIS controller is independent of the drives, IM, or EV parameters. ANFIS controller only takes input-output data set to restructure the membership function artificially. IM-based EV drives system is a purely nonlinear system whose performance depends on the sudden change of speed and torque. Hence, controlled parameters of the motor drives system are needed to calculate very precisely. Some metaheuristics optimisation techniques such as DE, TLBO, GA, PSO, ABC, GWO, and JFO are implemented in this paper for obtaining the optimised value of the controlled parameter of the PI controller. The main advantage of using these optimisation techniques is that system identification is not required for implementation.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electric and Hybrid Vehicles (IJEHV):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook