Design of fuzzy flight control system based on LMI
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摘要: 建立了飞控系统的模糊模型,通过采用线性矩阵不等式LMI(Linear Matrix Inequality)得到了一种既可保证模糊系统全局渐近稳定又能将闭环极点配置在期望区域的模糊控制系统的设计方法.对用该方法设计的纵向模糊飞控系统进行了仿真和鲁棒性验证.仿真结果表明所设计系统满足既定的性能指标要求且具有较好的鲁棒性.Abstract: A fuzzy flight control system model was established. Through using linear matrix inequality, a design method was gained which guarantees the fuzzy system is global asymptotic stability and the poles were assigned to anticipant areas. The numerical simulations of a fuzzy flight control system designed by this method show the system possesses not only satisfactory performances but also strong robustness.
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Key words:
- pole allocation /
- robustness /
- T-S fuzzy model /
- parallel distributed compensation
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[1] Hua O Wang, Kazuo Tanaka, Michael F Griffin. An approach to fuzzy control of nonlinear systems:stability and design issues[J]. IEEE Trans Fuzzy Systems,1996,4:14~23 [2] Joongseon Joh, Reza Langari, Eun Tae Jeung, et al. A new design method for continuous Takagi-Sugeon fuzzy controller with pole placement constraints:an LMI approach[J]. IEEE, 1997,2969~2974 [3] GJB 185-186,有人驾驶飞机(固定翼)飞行品质[S],1986 GJB185186,Flight qualities of piloted airplanes(fixed wing)[S],1986(in Chinese) [4] Tanaka K, Michio Sugeno.Stability analysis and design of fuzzy control systems[J]. Fuzzy Sets and Systems, 1992,45:135~156
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