Robust tuning method for modified smith predictor
Guanghui Zhang, Qian Feng, Shao Hui-he
Abstract
Guanghui Zhang, Qian Feng, Shao Hui-he
Abstract
A robust tuning method for Åström'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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A robust tuning method for Åström'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.
Key concepts: Setpoint, Robustness (evolution), Control theory (sociology), Computer science, Smith predictor, Robust control, Margin (machine learning), Control engineering