Robust adaptive control for flap positioning system with SMA actuators-inverse Duhem model-based approach
by Ying Feng; Camille Alain Rabbath; Mingcong Deng; Chun-Yi Su
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 3, No. 5/6, 2011

Abstract: Shape memory alloy (SMA) actuators are a class of smart materials-based actuators, which have some excellent features such as high power-to-weight ratio, large recovery strain and low driving voltages, etc. However, the saturated-type hysteresis non-linearities existing in the SMA actuators will degrade the system performance, and limit the improvement of the positioning precision. Focusing on this task, a robust adaptive control approach for the flap positioning system based on shape memory alloy actuators is addressed in this paper. A differential equation-based hysteresis model, Duhem model, is adopted to describe the saturation and minor loops characteristics in the SMA actuators by choosing the proper slope functions. The inverse of estimated Duhem hysteresis is preceded as the compensation. In this paper, the compensation error, lag effect and the unmodelled measure error are considered, and the proposed control method can stabilise the closed-loop system and ensure the accurate rotation of the flap to the desired angle. Simulations performed on a flap positioning system illustrate and clarify the approach.

Online publication date: Wed, 18-Mar-2015

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 Advanced Mechatronic Systems (IJAMECHS):
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