Title :
Simulation study on the membership functions of the basic fuzzy logic controller for electric vehicle propulsion systems
Author :
Huang, Hong ; Chang, Liuchen
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
Using the classical mathematical analysis methods, this paper presents a principle to select its membership functions for the basic fuzzy logic controller. The results of the analysis illustrate that the basic fuzzy logic controller actually is an equivalent nonlinear classical proportional regulator with variable parameters. For a zero steady-state step error system, a pure integrator should be added to the output of the basic fuzzy logic controller. The computer simulation results using the proposed principle on an electric van propulsion control system are presented in this paper
Keywords :
control system analysis computing; controllers; digital simulation; electric propulsion; electric vehicles; fuzzy control; nonlinear control systems; simulation; transport control; computer simulation; electric van; electric vehicle propulsion systems; equivalent nonlinear classical proportional regulator; fuzzy logic controller; mathematical analysis methods; membership functions selection; propulsion control system; pure integrator; variable parameters; zero steady-state step error system; Computer errors; Computer simulation; Control systems; Electric variables control; Error correction; Fuzzy logic; Mathematical analysis; Proportional control; Regulators; Steady-state;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548324