An optimization method for controller parameters of a gas turbine based on probabilistic robustness was described in this paper. As is well known, gas turbines, like many other plants, are stochastic. The parameters of a plant model are often of some uncertainties because of errors in measurements, manufacturing tolerances and so on. According to model uncertainties, the probability of satisfaction for dynamic performance requirements was computed as the objective function of a genetic algorithm, which was used to optimize the parameters of controllers. A Monte Carlo experiment was applied to test the control system robustness. The advantage of the method is that the entire uncertainty parameter space can be considered for the controller design; the systems could satisfy the design requirements in maximal probability. Simulation results showed the effectiveness of the presented method in improving the robustness of the control systems for gas turbines.
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September 2009
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Optimization of Controllers for Gas Turbine Based on Probabilistic Robustness
Chuanfeng Wang,
Chuanfeng Wang
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Search for other works by this author on:
Donghai Li,
Donghai Li
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
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Zheng Li,
Zheng Li
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Search for other works by this author on:
Xuezhi Jiang
Xuezhi Jiang
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Search for other works by this author on:
Chuanfeng Wang
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Donghai Li
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Zheng Li
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, China
Xuezhi Jiang
Institute of Simulation and Control for Thermal Power Engineering, Department of Thermal Engineering; Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,
Tsinghua University
, Beijing, 100084, ChinaJ. Eng. Gas Turbines Power. Sep 2009, 131(5): 054502 (5 pages)
Published Online: June 4, 2009
Article history
Received:
January 28, 2008
Revised:
May 11, 2008
Published:
June 4, 2009
Citation
Wang, C., Li, D., Li, Z., and Jiang, X. (June 4, 2009). "Optimization of Controllers for Gas Turbine Based on Probabilistic Robustness." ASME. J. Eng. Gas Turbines Power. September 2009; 131(5): 054502. https://doi.org/10.1115/1.2981174
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