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Intelligent decoupling control of nonlinear multivariable systems

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4 Author(s)
Yue Fu ; Key Laboratory of Integrated Automation of Process Industry, Ministry of Education and with the Research Center of Automation, Northeastern University, China ; Tianyou Chai ; Chun-Yi Su ; Hong Wang

In this paper, a dynamical decoupling control law is first presented. Then by introducing a lambdadegr difference operator, an intelligent decoupling control method using multiple models and neural networks (NNs) is developed. The intelligent decoupling control method includes a set of fixed decoupling controllers, a re-initialized neural network (NN) adaptive decoupling controller and a free-running NN adaptive decoupling controller. Theory analysis shows that the free-running NN adaptive decoupling controller can guarantee the bounded-input-bounded-output (BIBO) stability of the closed-loop system, while the multiple fixed decoupling controllers and the re-initialized NN adaptive decoupling controller are used to improve the system performance. To illustrate the method, the proposed design is applied to the 2.4 m x 2.4 m injector driven transonic wind tunnel system. Simulation results show the effectiveness and practicality of the proposed method.

Published in:

Decision and Control, 2007 46th IEEE Conference on

Date of Conference:

12-14 Dec. 2007