Title :
Vehicle speed control through fuzzy logic
Author :
Mahmud, Khalid ; Lei Tao
Author_Institution :
Dept. of Electr. Eng., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Fuzzy logic can be used to construct a nonlinear controllers by heuristic information which can replace the human intelligence working in a chain to complete a process. So it is a smart option to use the fuzzy logic to construct a controller to control a vehicle. Different DC motors like the shunt motors are prominent and flexible for electric vehicles. To control the vehicle dynamics like acceleration, braking, gear and terrain need to control the motor speed in proper way. So this paper advocates a novel approach to design and analyze a controller using fuzzy logic to control the speed of the vehicle. Traditional control sometimes take long time to determine optimum control parameters. But the designed fuzzy logic controller has the self tuning algorithm which can adjust the control parameters to gain the optimum control characteristic automatically.
Keywords :
DC motors; control system analysis; control system synthesis; electric vehicles; fuzzy control; fuzzy logic; machine control; nonlinear control systems; optimal control; vehicle dynamics; velocity control; DC motors; acceleration control; braking control; controller analysis; electric vehicles; fuzzy logic controller design; gear control; heuristic information; motor speed control; nonlinear controllers; optimum control characteristic; self tuning algorithm; shunt motors; terrain control; vehicle control; vehicle dynamics control; vehicle speed control; Fuzzy logic; Niobium; PD control; Process control; Vehicles; Velocity control; PID; controller; fuzzy logic; speed control; vehicle;
Conference_Titel :
Global High Tech Congress on Electronics (GHTCE), 2013 IEEE
Conference_Location :
Shenzhen
DOI :
10.1109/GHTCE.2013.6767235