In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boiler- turbine system is addressed with a predictive controller. First, a nonlinear predictive control is implemented by...In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boiler- turbine 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.展开更多
基金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)the National Natural Science Foundation of China (Nos. 51036002, 51076027)
文摘In this paper, the problem of designing a controller for a highly coupled constrained nonlinear boiler- turbine 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.
