Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then, trajectory reversing method (TRM) is employed to approximate the stability region more accurately. Finally, the effectiveness of the proposed scheme is illustrated on a continuous stirred tank reactor (CSTR) process.

工业过程本质上是非线性的，具有输入、状态和输出约束。一个合适的控制系统应该在大的操作区域内处理这些具有挑战性的控制问题。稳健模型预测控制器 (RMPC) 可以是基于线性矩阵不等式 (LMI) 的方法，该方法将闭环系统的稳定区域估计为椭球体。但是，此演示文稿限制了控制器在具有大操作区域的系统上的自信应用。在本文中，首先采用双模控制策略扩大稳定区域，然后采用轨迹反转方法（TRM）更准确地逼近稳定区域。最后，在连续搅拌釜反应器 (CSTR) 过程中说明了所提出方案的有效性。