Title :
On the comparison of the performance of emerging and conventional control techniques for DC motor velocity and position control
Author :
Chow, Mo-Yuen ; Menozzi, Alberico ; Holcomb, Frank
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
The emerging control techniques which utilize artificial neural networks and fuzzy logic are compared with conventional proportional-integral (PI) control for the velocity and position control of a DC motor. The performance of the control techniques is compared in terms of rise time, settling time, tracking error, smoothness of response, and robustness with respect to modeling errors and disturbances. The control design process and implementation requirements are also discussed
Keywords :
DC motors; control system synthesis; fuzzy control; fuzzy logic; machine control; neural nets; position control; two-term control; velocity control; DC motor; PI; artificial neural networks; control system synthesis; design; disturbances; errors; fuzzy logic; machine control; performance; position control; response; rise time; robustness; settling time; tracking error; two-term control; velocity control; Artificial neural networks; Control design; DC motors; Error correction; Fuzzy logic; Pi control; Position control; Proportional control; Robust control; Velocity control;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254474
