基于自抗扰模糊参数优化的纵列式植保无人机姿态控制仿真
Attitude control for tandem plant protection UAV based on fuzzy parameter optimization of active disturbance rejection control
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摘要: 针对纵列式植保无人机飞行控制系统中姿态控制的高要求和飞行中存在的各种未知扰动和参数不确定,提出了一种自抗扰模糊参数优化控制策略,以实现纵列式植保无人机姿态控制的高性能.包括安排过渡过程以减少超调,提高响应速度;设计扩张状态观测器来处理未知干扰和参数不确定性;为了提高控制系统的动态性能,采用模糊控制对非线性反馈控制律的增益进行在线调整.仿真结果表明:与常规PID以及模糊PID相比,模糊自抗扰控制策略能够快速有效地抑制干扰,具有较高的控制精度和较强的鲁棒性等特点.Abstract: In view of the high requirements of attitude control in flight control system and the various unknown disturbances and parameter uncertainties in flight, a fuzzy parameter optimization of active disturbance rejection control strategy was proposed to achieve the high performance of attitude control for tandem UAV. The transition process was arranged to reduce overshoot and improve response speed, and the extended state observer was designed to deal with unknown disturbances and parameter uncertainties. To improve the dynamic performance of control system, the fuzzy control was used to realize the online adjustment of the gain of nonlinear feedback control law. The simulation results show that compared with the conventional PID and fuzzy PID control, the fuzzy parameter optimization of active disturbance rejection control strategy can suppress the disturbance quickly and effectively with high control accuracy and strong robustness.