| Robust tuning method for modified smith predictor |
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| 作者单位： | Zhang Guanghui（Inst. of Automation, East China Univ. of Science and Technology, Shanghai 200237, P. R. China） ;
Qian Feng（Inst. of Automation, East China Univ. of Science and Technology, Shanghai 200237, P. R. China） ;
Shao Huihe（Inst. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, P. R. China） ; |
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| 基金项目： | 国家自然科学基金;国家重点基础研究发展计划(973计划);国家高技术研究发展计划(863计划);国家重点基础研究发展计划(973计划) |
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| 摘 要： | A robust tuning method for ο^Astroem＇s two-degree of Freedom Modified Smith Predictor （MSP） is proposed, and it can achieve the fast setpoint and load disturbance responses independently. The tuning rules may meet the requirements within a certain delay margin according to the robustness theory. The simulation results illustrate that the tuning method is efficient compared with other controllers. Finally, the MSP controller is applied to the 15L batch fermentation system for controlling the temperature in bioreactor, and the experiment results further verify that the robust tuning rules may achieve good performance.
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| 关 键 词： | 改良smith预估器 鲁棒调谐法 自由度 鲁棒理论 |
| 收稿时间： | 10 July 2005 |
Robust tuning method for modified smith predictor |
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| Authors: | Zhang Guanghui Qian Feng Shao Huihe |
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| Institution: | 1. Inst. of Automation, East China Univ. of Science and Technology, Shanghai 200237, P. R. China;
2. Inst. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, P. R. China |
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| Abstract: | A robust tuning method for (A)str(o)m's two-degree of Freedom Modified Smith Predictor (MSP) is proposed, and it can achieve the fast setpoint and load disturbance responses independently. The tuning rules may meet the requirements within a certain delay margin according to the robusmess theory. The simulation results illustrate that the tuning method is efficient compared with other controllers. Finally, the MSP controller is applied to the 15L batch fermentation system for controlling the temperature in bioreactor, and the experiment results further verify that the robust tuning rules may achieve good performance. |
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| Keywords: | Tuning Smith Predictor Robustness Integrating processes Temperature control |
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