Title :
Network-based controlled DC motor with fuzzy compensation
Author :
Almutairi, Naif B. ; Chow, Mo-Yuen ; Tipsuwan, Yodyium
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
This paper introduces a fuzzy logic compensation approach for the network-based controlled DC motor. The approach is based on modulating the control signal provided by the central controller in the network-based system with a single parameter. The inputs to the fuzzy compensator are the error signal between the reference and the actual output of the DC motor, and the output signal from the PI controller. The output from the fuzzy compensator is the modulator parameter. This parameter modulates the output of the PI controller in order to reduce the effect of the network delays and different available bandwidth. The results show that using fuzzy compensation can be an effective approach to improve the performance of the DC motor controlled through the network
Keywords :
DC motors; compensation; fuzzy control; machine control; two-term control; PI controller; central controller; control signal modulation; error signal; fuzzy logic compensation; network delays effect reduction; network-based controlled DC motor; network-based system; output signal; Centralized control; Communication system control; Computer networks; Control systems; DC motors; Delay effects; Equations; Error correction; Fuzzy control; Sampling methods;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.975571
