An improved constrained model predictive control approach for Hammerstein-Wiener nonlinear systems

作者：Li Yan^*; Chen Xue yuan; Mao Zhi zhong; Yuan Ping

来源：Journal of Central South University (English Edition), 2014, 21(3): 926-932.

DOI：10.1007/s11771-014-2020-6

• Hammerstein-Wiener nonlinear systems
• model predictive control
• parameter-dependent Lyapunov functions
• stability
• linear matrix inequalities (LMIs)

Many industry processes can be described as Hammerstein-Wiener nonlinear systems. In this work, an improved constrained model predictive control algorithm is presented for Hammerstein-Wiener systems. In the new approach, the maximum and minimum of partial derivative for input and output nonlinearities are solved in the neighbourhood of the equilibrium. And several parameter-dependent Lyapunov functions, each one corresponding to a different vertex of polytopic descriptions models, are introduced to analyze the stability of Hammerstein-Wiener systems, but only one Lyapunov function is utilized to analyze system stability like the traditional method. Consequently, the conservation of the traditional quadratic stability is removed, and the terminal regions are enlarged. Simulation and field trial results show that the proposed algorithm is valid. It has higher control precision and shorter blowing time than the traditional approach.

• 出版日期2014-3