Control Engineering Practice
In this paper, a unique dynamic disturbance decoupling control (DDC) strategy, based on the active disturbance rejection control (ADRC) framework, is proposed for square multivariable systems. With the proposed method, it is shown that a largely unknown square multivariable system is readily decoupled by actively estimating and rejecting the effects of both the internal plant dynamics and external disturbances. By requiring as little information on plant model as possible, the intention is to make the new method practical. The stability analysis shows that both the estimation error and the closed-loop tracking error are bounded and the error upper bounds monotonously decrease with the bandwidths. Simulation results obtained on two chemical process problems show good performance in the presence of significant unknown disturbances and unmodeled dynamics.
Zheng, Qing; Chen, Zhongzhou; and Gao, Zhiqiang, "A Practical Approach to Disturbance Decoupling Control" (2009). Electrical Engineering & Computer Science Faculty Publications. 73.
Zheng, Q., Chen, Z., , & Gao, Z. (2009). A practical approach to disturbance decoupling control. Control Engineering Practice, 17(9), 1016-1025. doi:10.1016/j.conengprac.2009.03.005
NOTICE: this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Control Engineering Practice, 17, 9, (09-01-2009); 10.1016/j.conengprac.2009.03.005