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| Received:March 01, 2010Revised:August 26, 2010 |
| 基金项目:This work was supported by the Chinese Scholarship Council, the Project of Chinese Ministry of Education (No. 108060), the Doctoral Fund of Ministry of Education of China (No. 20090092110051), and the National Natural Science Foundation of China (Nos. 51036002, 51076027). |
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| GA-based nonlinear predictive switching control for a boiler-turbine system |
| Jie WU,Jiong SHEN,Mattias KRUG,Sing Kiong NGUANG,Yiguo LI |
| (School of Energy and Environment, Southeast University;Department of Electrical and Computer Engineering, The University of Auckland) |
| Abstract: |
| In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boilerturbine system is addressed with a predictive controller. First, a nonlinear predictive control is implemented by genetic algorithm. Second, to guarantee fast output stabilization, an H-infinity fuzzy state-feedback tracking control is applied with a designed switching principle. The success of such a control structure is based on taking advantage of the optimal input sequence derived from the nonlinear predictive control based on artificial intelligent while ensuring a fast decay of the steady state error. Simulation results of the proposed design are given to illustrate its effectiveness and compared to other control schemes. |
| Key words: Genetic algorithm (GA) Nonlinear receding horizon control Adaptive control Boiler-turbine Switching control |
