Proof of stability and boundedness of a real-time motor resistance estimation and compensation scheme
by Ravindra Patankar, Liangtao Zhu
International Journal of Automation and Control (IJAAC), Vol. 3, No. 2/3, 2009

Abstract: This paper presents and proves the stability and boundedness of a scheme for estimation of one parameter in a complex nonlinear system. The proof presented in this paper does not assume discretised plant equations. This scheme is applied to estimate resistance of a brushless DC motor and compensate for the resistance change in real-time via feedback control. A non-dynamic motor inverse model, which neglects the electrical dynamics of the motor, is used to achieve torque control of the motor. Variations of the motor parameters, due to environmental factors, such as temperature, build variations, ageing, etc., directly impart inaccuracies in the motor control, and thus affect the performance of the system. Comparison of simulations for closed-loop voltage control of automotive electric power steering system actuator confirms a lower bound of error of the estimated parameter and faster adaptation with the proposed scheme compared to previously employed methods.

Online publication date: Sun, 17-May-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com