| 一种对预测控制系统经济性能评估的实用方法及其工业应用 |
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| 引用本文： | 赵超,苏宏业,古勇,褚建.一种对预测控制系统经济性能评估的实用方法及其工业应用[J].中国化学工程学报,2009,17(2):241-250. |
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| 作者姓名： | 赵超 苏宏业 古勇 褚建 |
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| 作者单位： | State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China |
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| 基金项目： | the National Creative Research Groups Science Foundation of China，国家重点基础研究发展规划(973计划) |
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| 摘 要： | In this article, an approach for economic performance assessment of model predictive control (MPC) 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 benefit and the op-timal operation condition can be obtained by solving the economic optimization problem. The proposed algorithm is illustrated by simulated example as well as application to economic performance assessment of an industrial model predictive control system.
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| 关 键 词： | economic performance assessment model predictive control linear quadratic Gaussian benchmark steady-state model based optimization |
| 收稿时间： | 2008-1-7 |
| 修稿时间： | 2008-1-7
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A pragmatic approach for assessing the economic performance of model predictive control systems and its industrial application |
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| ZHAO Chao,SU Hongye,GU Yong,CHU Jian.A pragmatic approach for assessing the economic performance of model predictive control systems and its industrial application[J].Chinese Journal of Chemical Engineering,2009,17(2):241-250. |
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| Authors: | ZHAO Chao SU Hongye GU Yong CHU Jian |
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| Affiliation: | State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | In this article, an approach for economic performance assessment of model predictive control (MPC) 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 benefit and the op-timal operation condition can be obtained by solving the economic optimization problem. The proposed algorithm is illustrated by simulated example as well as application to economic performance assessment of an industrial model predictive control system. |
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| Keywords: | economic performance assessment model predictive control linear quadratic Gaussian benchmark steady-state model based optimization |
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