机载光电稳定平台模糊滑模自抗扰控制

为提升机载光电稳定平台的视轴稳定精度与鲁棒性，提出了一种模糊非奇异快速终端滑模自抗扰控制策略。首先，采用非奇异快速终端滑模面提升系统状态在滑动阶段的收敛速度。其次，通过设计带模糊校正项的快速幂次趋近律来对抖振进行抑制，模糊逻辑的引入能使控制器参数能根据误差变化自整定，在此基础上，结合线性扩张状态观测器来增强系统的扰动抑制能力。然后，利用Lyapunov方法对系统进行了稳定性分析。最后，在扰动及参数摄动下进行了仿真对比实验，仿真实验结果表明，所提方法相较于另外4种控制算法而言，基于本方法的系统具备更强的鲁棒性。

Fuzzy sliding mode active disturbance rejection control for airborne photoelectric stabilization platform

For enhancing the visual axis stability accuracy and robustness of the airborne photoelectric stabilization platform, a fuzzy nonsingular fast terminal sliding mode active disturbance rejection control strategy is proposed. Firstly, a nonsingular fast terminal sliding surface is used to enhance the convergence rate of the system state in the sliding phase. Secondly, the fast power reaching law with fuzzy correction term is established to suppress chattering. The introduction of fuzzy logic enables the controller parameters to be adjusted according to the error changes.On this basis, the linear extended state observer is used for strengthening the disturbance rejection function of the system. Then, the stability of the system is analysed by Lyapunov theorem. Finally, a simulation comparison experiment is carried out under the disturbance and parameter perturbation. The simulation results show that the system based on the proposed method is more robust than the other four control algorithms.