Title :
The chaos research on anti-control of BLDCM of electrical vehicle based on adaptive method
Author_Institution :
Dept. of Railway Eng., Guidaojiaotong Polytech. Inst., Shenyang, China
Abstract :
Nowadays the electrical vehicle is speeded up the pace to develope. At present, the control system of electrical vehicle main drive BLDCM is mainly vector control system. But in operation, the electrical vehicle suffered the impact of turbulent air flow with a certain chaotic characteristics while the vector control system ignored the characteristics. To this end, this paper presents a new idea of control system for electrical vehicle main drive BLDCM, which called the chaotic anti-control system. For the chaotic mathematical model of BLDCM, adaptive method is used to analyze it, and the lyapunov value and simulation image of chaos anti-control methods are given. The research content provides the theory basis for the anti-control of main drive BLDCM in electrical vehicle.
Keywords :
DC motor drives; Lyapunov methods; brushless DC motors; electric vehicles; machine vector control; mathematical analysis; turbulence; Lyapunov value; adaptive method; brushless DC electric motor; chaos research; chaotic anticontrol system; chaotic mathematical model; electrical vehicle; main drive BLDCM; simulation image; turbulent air flow; vector control system; Adaptive systems; Chaos; Control systems; Indexes; Mathematical model; Rotors; Vehicles;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013650