DocumentCode
2818664
Title
Optimal preview-based stable-inversion for output tracking of nonminimum-phase linear systems
Author
Zou, Qingze
Author_Institution
Iowa State Univ., Ames
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
5258
Lastpage
5263
Abstract
In this article, a new approach for output tracking of nonminimum-phase systems is proposed The proposed approach extends the preview-based stable inversion technique which utilizes the finite-previewed (in time) future desired trajectory to find the feedforward input (called inverse input) to achieve precision output-tracking of nonminimum-phase systems. It has been shown that the error in the inverse input can be rendered arbitrarily small provided the preview time is large enough Exact-output-tracking can be achieved if the entire future desired trajectory is known (i.e., the preview time extends to infinity). Therefore, having a large enough preview time is important to ensure the precision in the preview-based inverse input. The available preview time can be increased by using more powerful sensors. Or, alternatively, the need for preview time can be reduced by redesigning the trajectory, the system, or by using path following techniques. However, the available preview time is limited by physical constraints in applications such as active noise control. More generally, the available preview time is limited because of the associated cost and/or hardware limit. Therefore, we propose, in this article, the integration of optimal control with the preview- based stable-inversion to optimally exploit the available preview time. Specifically, we aim at obtaining the optimal preview- based inverse input by minimizing, within the preview time window, the predicted tracking error (under the preview-based inverse input) over the input energy. The properties of the optimal preview-based stable-inversion are discussed.
Keywords
linear systems; optimal control; position control; active noise control; nonminimum-phase linear systems; optimal control; optimal preview-based stable-inversion; path following techniques; Active noise reduction; Boundary conditions; Control systems; Hardware; Linear systems; Mechanical engineering; Optimal control; Trajectory; USA Councils; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434259
Filename
4434259
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