Application of fuzzy optimization control in NSV anti-disturbance

Gao Qian, He Nai-bao
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Abstract

Variable universe fuzzy control based on intelligent control technology is proposed in this paper for the hypersonic flight process of nearspace vehicle (NSV) with severe changes of aero-dynamic parameters and susceptibility on the external disturbances. And the contraction-expansion factor of the fuzzy control is given to modify the scale of universe and reduce the computational cost. By adopting fast fuzzy terminal sliding mode with variable universe in the slow loop controller which is suffering the disturbance, its robustness, the speed of anti-disturbance and control accuracy are enhanced with the adaptively modified fuzzy universe. A demonstration with the Lyapunov function is given to proved that the errors of system could converge to zero in finite time.
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模糊优化控制在小波车抗干扰中的应用
针对气动参数变化剧烈、易受外界干扰的近空飞行器高超声速飞行过程,提出了基于智能控制技术的变全域模糊控制方法。并给出了模糊控制的收缩-膨胀因子,以修正全局尺度,降低计算量。在受扰动的慢环控制器中采用快速变域模糊终端滑模,自适应修正模糊域,提高了慢环控制器的鲁棒性、抗干扰速度和控制精度。用李雅普诺夫函数证明了系统误差在有限时间内收敛于零。
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