Robust Nonlinear Control Design Using Predictive Reference Systems
Integrated processing systems have been forced to operate in a more flexible way in order to respond to a rapidly changing market demand. This situation complicates their operational and control problems, where the traditional linear controllers in many cases were not able to give satisfactory closed-loop performance due to its inherent nonlinear behavior. Therefore, recent efforts have been directed towards nonlinear model-based control design. In this paper, we propose a new approach of designing a nonlinear model-based controller via the use of predictive output rate reference systems. Within this new approach, we can explicitly embed a nonlinear model of the process to compute the control action at each sampling time. Additionally, we address the closedloop uncertainty and constraints in the design stage through the application of predictive reference systems. We show through a number of case studies, e.g. reactor systems and reheating furnace, that the proposed approach is more attractive than the existing nonlinear predictive control design technique, especially in terms of computational aspects and handling closed-loop uncertainty.
Predictive reference systems Nonlinear control Closed-loop uncertainty
Yudi Samyudia Jobrun Nandong
Department of Chemical Engineering,Curtin University of Technology,Sarawak Campus,CDT 250,98009 Miri Sarawak,Malaysia.
国际会议
西安
英文
2007-08-15（万方平台首次上网日期，不代表论文的发表时间）