Intelligent decoupling control of nonlinear multivariable systems

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.