Title :
Control of permanent-magnet brushless DC motors
Author :
Lyshevski, Sergey Edward ; Menozzi, Alberico
Author_Institution :
Dept. of Electr. & Comput. Eng., Purdue Univ. at Indianapolis, IN, USA
Abstract :
We design, test, and compare different control algorithms for high-performance electric drives with permanent-magnet brushless DC motors. The major emphasis is placed in the analysis and design of closed-loop systems by synthesizing and testing different control laws. A variety of tracking controllers (proportional-integral, proportional-integral with state feedback, relay, and neural network based) are designed and analyzed. It is illustrated that the controllers designed guarantee stability, robust tracking with zero steady-state error, fast dynamic response, and disturbance attenuation
Keywords :
DC motor drives; angular velocity control; brushless DC motors; feedback; neurocontrollers; permanent magnet motors; robust control; tracking; two-term control; Lyapunov method; PI controller; brushless DC motors; closed-loop systems; dynamic response; electric drives; feedback; neurocontrol; permanent-magnet motors; robust control; stability; tracking; Algorithm design and analysis; Brushless DC motors; Control system synthesis; Network synthesis; Pi control; Proportional control; Relays; Robust stability; State feedback; System testing;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946066