Multiple parameter estimation using Gram-Schmidt Orthonormalization for brushless DC motor actuators
Document Type
Article
Publication Date
1-1-2006
Abstract
An approximate motor inverse model is usually employed to achieve torque control of a brushless DC motor. Variations of motor parameters directly impart inaccuracies in the motor inverse model, thus the performance of the system suffers. A multi-parameter estimation method based on Gram-Schmidt Orthonormalization in a continuous function space of feedback signal is proposed in this paper. The stability of the estimation scheme is proved. Performance improvement of the estimation scheme is discussed. Comparison of simulations for closed loop voltage control of an electric power steering system actuator confirms a lower bound of error of the estimated parameter and faster adaptation with the proposed improvements for the estimation scheme. Copyright © 2006 Inderscience Enterprises Ltd.
Publication Title
International Journal of Vehicle Autonomous Systems
Recommended Citation
Zhu, L.,
&
Patankar, R.
(2006).
Multiple parameter estimation using Gram-Schmidt Orthonormalization for brushless DC motor actuators.
International Journal of Vehicle Autonomous Systems,
4(1), 88-101.
http://doi.org/10.1007/s11430-004-5317-8
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/5044