基于LQG性能基准的预测控制经济性能评估算法  

Economic performance assessment of model predictive control(MPC) based on LQG benchmarking

作　　者：赵超[1] 张登峰[2] 许巧玲[1] 李学来[1] 

机构地区：[1]福州大学化学化工学院,福建福州350108 [2]南京工业大学机械工程学院,江苏南京200124

出　　处：《计算机与应用化学》2012年第10期1253-1258,共6页Computers and Applied Chemistry

基　　金：国家自然科学基金资助项目(6080402);福州大学科研基金(FZU-022335;600338;600567)

摘　　要：针对已有经济性能评估算法大多采用最小方差控制(Minimum Variance Control,MVC)性能基准,存在对预测控制系统(Model Predictive Control,MPC)性能评估结果可靠性不高的问题,提出了基于线性二次高斯控制(Linear Quadratic G-aussian,LQG)性能基准的经济性能评估算法。通过数值计算方法确定LQG性能基准曲线,避免了复杂交互矩阵的计算。算法以基于模型的稳态经济优化技术为基础,将LQG基准和预测控制系统的经济性能估计相结合,并通过建立一系列稳态优化问题来描述控制系统在不同控制策略下的经济性能。与已有评估算法相比,本算法提供了一种更简单有效的评估方法,能够完成对包括预测控制在内的先进控制系统经济性能的评估.算法通过仿真算例说明了该算法的有效性。With the goals of optimal performance, energy conservation and cost effectiveness of process operations in industry, economic performance assessment of advanced process control have received great attention in both academia and industry. Controller performance monitoring and assessment are necessary to assure effectiveness of model predictive control systems and consequently safe and profitable plant operation. An approach to economic performance assessment of model predictive control system is presented. The method builds on steady-state economic optimization techniques and uses the linear quadratic gaussian （LQG） benchmark other than conventional minimum variance control （MVC） to estimate the potential of reduction in variance. The LQG control is a more practical performance benchmark compared to MVC for performance assessment since it considers input variance and output variance, and it thus provides a desired basis for determining the theoretical maximum economic benefit potential arising from variability reduction. Combining the LQG benchmark directly with benefit potential of MPC control system, both the economic benefits and the optimal operation condition can be obtained by solving the economic optimization problem. The proposed algorithm is illustrated by a simulated example of Shell standard problem.

关 键 词：控制系统经济性能评估 模型预测控制 LQG性能基准 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]