论文部分内容阅读
针对光学成像卫星姿态大角度机动控制要求,在力矩受限的情况下,设计了一种模糊参数整定PID算法,通过模糊智能控制器的输出来对经典PID控制器的参数进行整定,并设计了适合的隶属度函数及论域,使模糊控制器的整定参数更趋近于适应控制情况要求。同时,结合验证非线性控制的幅-相曲线稳定性判定定理,用多级继电函数来描述模糊控制器数学模型,证明文中的卫星姿态大角度机动模糊参数整定PID控制系统的稳定性。仿真结果表明,该智能控制算法有较好的控制性能和鲁棒性,其超调量为0.2%,控制指向精度为0.05°,稳定度为0.005°/s。在系统参数改变±50%时仍能渐进稳定。
Aimed at the requirements of large-angle maneuver control of optical imaging satellite attitude, a fuzzy parameter tuning PID algorithm is designed under the condition of limited torque. The parameters of classic PID controller are set by the output of fuzzy intelligent controller. Suitable membership function and domain, the tuning parameters of the fuzzy controller closer to meet the requirements of the control situation. At the same time, combining with the theorem of judging amplitude-phase curve stability of nonlinear control, the mathematical model of fuzzy controller is described by multilevel relay function, and the stability of PID attitude control system is proved. The simulation results show that the intelligent control algorithm has better control performance and robustness. The overshoot is 0.2%, the control pointing accuracy is 0.05 °, and the stability is 0.005 ° / s. Asymptotic stability when system parameters change ± 50%.