Please use this identifier to cite or link to this item: https://doi.org/10.1109/63.892816
Title: Robust model predictive control and observer for direct drive applications
Authors: Low, K.-S.
Zhuang, H. 
Issue Date: Nov-2000
Source: Low, K.-S., Zhuang, H. (2000-11). Robust model predictive control and observer for direct drive applications. IEEE Transactions on Power Electronics 15 (6) : 1018-1028. ScholarBank@NUS Repository. https://doi.org/10.1109/63.892816
Abstract: In this paper, robust position control of a direct drive using a state space model predictive control (MPC) algorithm is presented. The proposed controller consists of a state feedback regulator and a feedforward controller. Their gains are obtained by minimizing a cost function that is a sum of the position tracking errors and the control cost over some user defined time horizons. The effects of the controller parameters on the dynamic performance and the robustness of the direct drive are investigated. To provide good estimates of the state variables in the presence of load disturbance, a new observer based on the receding horizon concept is also formulated. Experimental results are presented to demonstrate the effectiveness of the approach.
Source Title: IEEE Transactions on Power Electronics
URI: http://scholarbank.nus.edu.sg/handle/10635/92313
ISSN: 08858993
DOI: 10.1109/63.892816
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