Wireless network based operational optimization and control for a class of industrial processes

Recently, wireless networks are gradually applied into on-line monitoring and open-loop operational control in most industrial processes. However, it tends to design double-closed-loop controllers for dual-layer structure, including the control layer and the operational layer. This paper creatively studies wireless network based operational optimization and feedback control for a class of industrial processes, in order to overcome the negative effect on operational performance by unreliable wireless communications. Firstly, a wireless communication model integrating packet dropout and noise is proposed. Secondly, a LQR controller and model predictive controller are designed for the control layer and the operational layer, respectively. Specifically, a condition to guarantee asymptotic stability of the double-closed-loop system is given. Finally, a simulation in a flotation process is conducted to demonstrate the effectiveness of the proposed method.