Model‐predictive control based on Takagi‐Sugeno fuzzy model for electrical vehicles delayed model. Issue 5 (1st May 2017)

• Record Type: Journal Article
• Authors: Khooban, Mohammad Hassan; Vafamand, Navid; Niknam, Taher; Dragicevic, Tomislav; Blaabjerg, Frede
• Is Part Of: IET electric power applications. Volume 11:Issue 5(2017)
• Page Start: 918
• Page End: 934
• Publication Date: 2017-05-01
• Subjects: electric vehicles -- predictive control -- fuzzy control -- linear matrix inequalities -- Lyapunov methods -- velocity control -- delay systems -- time‐varying systems -- robust control; model‐predictive control -- Takagi‐Sugeno fuzzy model -- electrical vehicles delayed model -- linear matrix inequalities -- nonquadratic Lyapunov function -- speed control -- time‐delay states -- parameter uncertainty -- federal test procedure -- time‐varying parameters -- TMS320F28335 DSP -- direct current motor; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2016.0508
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : Electric vehicles (EVs) play a significant role in different applications, such as commuter vehicles and short distance transport applications. This study presents a new structure of model‐predictive control based on the Takagi‐Sugeno fuzzy model, linear matrix inequalities, and a non‐quadratic Lyapunov function for the speed control of EVs including time‐delay states and parameter uncertainty. Experimental data, using the Federal Test Procedure (FTP‐75), is applied to test the performance and robustness of the suggested controller in the presence of time‐varying parameters. Besides, a comparison is made between the results of the suggested robust strategy and those obtained from some of the most recent studies on the same topic, to assess the efficiency of the suggested controller. Finally, the experimental results based on a TMS320F28335 DSP are performed on a direct current motor. Simulation and experimental results demonstrate the flawless performance of the suggested controller and the fast and accurate tracking of the EV speed to its set‐point.