Robust Model Predictive Control for Linear Systems with Frequency Domain Constraints
Model predictive control is an optimization problem, which search the best solution of the control actions for the plants under varies constraints. Actually, the optimization problems are indeed looking for the fundamental design limitations of the control systems. In the present paper, we will extend the theory of the fundamental design limitations to multi-input and multi-output (MIMO) model predictive control (MPC) algorithm. The MPC system is a typical system with measurement outputs are not consistent with performance outputs. The robust MPC problem proposed has some nice features. It makes a good trade-off between the reference tracking and the disturbance attenuation by considering the frequency domain of the closed-loop systems. The optimal controller is explicitly formulated to free from computation burden for online application, which shows a good potential for industrial applications. Finally a numerical example is used to demonstrate the proposed design procedure.
model predictive control Disturbance response fundamental design limitations frequency domain constraints
Tinggang Jia Bei Chen
School of Information Science and Engineering East China University of Science and Technology Centra School of Information Science and Engineering East China University of Science and Technology Shangh
国际会议
太原
英文
485-489
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）