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新南威尔士大学 Jie Bao 教授学术报告:Distributed Economic Model Predictive Control Based on Dissipativity Theory
时间:2017-06-02 来源:综合办 编辑:zhbgs 访问次数:1817

报告人:Prof. JieBao

School of Chemical Engineering, The University of New South Wales, Australia

报告时间:2017年6月6日 上午10时

报告地点:玉泉校区控制学院工控新楼211会议室 

 

报告摘要:

Modern process plants are often complex and of large scales. To improve the efficiency of material and energy use, a process plant (referred to as a plantwide system) usually consists of many process units (such as reactors, heat exchangers and distillation columns), interacting through a network of material and energy flows. The wide use of material recycles and heat integration causes severe interactions between process units, which profoundly alter and complicate plantwide process dynamics. In response to the rising complexity of modern industrial processes, distributed plantwide control approaches are being developed. The key issues are to deal with the interactions between the subsystems and coordinate the distributed controllers to achieve plantwide stability and performance. In this talk, we will introduce a scalable distributed economic model predictive control (DEMPC) approach using the dissipativity theory. The plantwide process is modelled as a network of interconnected process units (with both physical mass and energy flow and information flow) and controlled by a network of local EMPCs. The economic cost functions used in the DEMPC are generally different to conventional control objectives and usually not positive definite. As such, many stability conditions in traditional MPC cannot be used. In this approach, the plantwide stability and performance conditions are represented as plantwidedissipativity conditions, which are in turn, converted into the dissipativity conditions that individual controllers need to satisfy. The extensions to nonlinear distributed model predictive control and distributed flexible manufacturing using contraction theory will be discussed.

 

报告人简介:

JieBao is a Professor and currently Deputy Head, School of Chemical Engineering, the University of New South Wales (UNSW Australia). He obtained his B.E. and M.E. degrees in Electrical Engineering (Control Engineering) from Zhejiang University, China, in 1990 and 1993 respectively. In 1998, he received a Ph.D. degree in Chemical Engineering (Process Control) from the University of Queensland. He spent one year at University of Alberta, Canada, as a postdoctoral fellow and then joined UNSW in 1999. He has been awarded 8 Australian Research Council Discovery Projects, one CSIRO National Flagship Research Cluster project and a number of industrial research grants. He leads the Process Control Research Group at UNSW to work on(1) mathematical control theory in distributed and networked control, plantwide process controllability analysis and dissipativity-based process control; (2) control of industrial processes including aluminium smelting, mineral processing, membrane separation and flow batteries. He has published over 200 refereed publications in the above areas, including a monograph on passivity/dissipativity theory based process control. He is an Associate Editor of Journal of Process Control.