Title :
Optimal feedback control of direct-current motors
Author :
Jiang, Jing-Ping ; Chen, Shen ; Sinha, Pradip K.
Author_Institution :
Dept. of Eng., Reading Univ., UK
fDate :
8/1/1990 12:00:00 AM
Abstract :
A methodology for real-time speed control of a thyristor-driven DC motor in the presence of measurement noise and load torque disturbance is developed. An optimal state feedback controller using the Kalman-filter state estimation technique is derived. This is followed by an adaptive control algorithm to compensate for the effects of noise and disturbance. These two algorithms working together are capable of providing a very high-speed regulation and dynamic response over a wide range of operating conditions. Simulated responses using an i80386-based PC with a mathematics coprocessor are presented to highlight the effectiveness of the control strategy
Keywords :
DC motors; Kalman filters; adaptive control; digital simulation; feedback; machine control; optimal control; power engineering computing; state estimation; thyristor applications; velocity control; Kalman-filter state estimation technique; adaptive control algorithm; direct-current motors; dynamic response; i80386-based PC; load torque disturbance; load torque measurement; mathematics coprocessor; noise measurement; optimal state feedback controller; real-time speed control; thyristor-driven DC motor; Adaptive control; DC motors; Feedback control; Noise measurement; Optimal control; State estimation; State feedback; Torque measurement; Velocity control; Velocity measurement;
Journal_Title :
Industrial Electronics, IEEE Transactions on
