基于优先级策略的模型预测控制性能评估  

MPC Performance Assessment Based on Priority Strategy

作　　者：周培杰[1] 刘进峰[2] 刘苏[2] 冯毅萍[1] 荣冈[1] 

机构地区：[1]浙江大学智能控制与系统研究所,杭州310027 [2]阿尔伯塔大学化学工程与材料工程学系

出　　处：《上海交通大学学报》2015年第11期1641-1646,1654,共7页Journal of Shanghai Jiaotong University

基　　金：国家重点基础研究发展规划(973)项目(No.2012CB720500)

摘　　要：为了解决基于函数加权法进行模型预测控制(MPC)潜在控制性能以及经济性能评估过程中出现的权重缺乏统一度量标准的问题,并考虑到实际操作中所考虑的安全平稳、产品质量、节能减排等目标具有不同的优先级的特点,提出了一种基于优先级策略的模型预测控制性能评估方法.对集中式MPC控制系统建模,基于线性二次最优控制(LQG)基准,将优先级引入控制目标,提出了优先级LQG基准,给出MPC参考参数,并通过稳态目标计算进行可行性判定,确定可行解空间,从而实现卡边控制,最大化经济效益.案例证明了该方法的有效性以及针对不同控制目标的灵活性.During the past decades,various model predictive control（MPC）performance assessment methods were developed for the evaluation of the control and economic performance of MPC.In these methods,different objectives（e.g.,safety,product quality,and economics）in general were taken into account in one weighted objective function.The tuning of the weights for different objectives,however,is not a trivial task and still remains an open question.Moreover,due to practical concerns such as safety,product quality,economic,etc.,one objective may have total superiority over another.In this paper,aprioritized benchmark based on linear quadratic Gaussian（LQG）benchmarks was developed and applied to the economic performance assessment of MPC with prioritized objectives.The proposed approach was shown to provide better assessment result and was flexible in the assessment of different kinds of control objectives.

关 键 词：模型预测控制 双层结构 经济性能评估 线性二次最优控制 优先级 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]