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Application of Intelligent Fuzzy PID Control Algorithm in Large Astronomical Telescope Tracking System

机译:智能模糊PID控制算法在大型天文望远镜跟踪系统中的应用

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The telescope tracking system is one big-inertia, multivariable, nonlinear, complex and strong coupling mechatronic system which is disturbed by some nonlinear disturbance such as torque ripple, wind disturbance and the cable drag force during the tracking process. In order to suppress the nonlinear disturbance and improve the tracking precision in large astronomical telescope, this paper explores one intelligent fuzzy control algorithm which contains engineers' rich experimental experience and shows strong inductive ability. The simulation results show that the fuzzy controller is much stronger than traditional PID controller to suppress the nonlinear interference. The tests in the 1-meter telescope experimental platform also testify that it is very stable and the RMS of position tracking error is only 0.012" in the super-low tracking speed 0.2"/s. While in the quick tracking speed, 6°/s with the acceleration 5°/s~2, the RMS of position tracking error is only near to 1.8". In conclusion, by the fuzzy control method designed in this paper, the dynamic response of the telescope tracking system has been improved effectively and the nonlinear interference has also been suppressed strong. What's more, the tracking accuracy has been improved greatly.
机译:望远镜跟踪系统是一种大惯性,多变量,非线性,复杂而强耦合的机电一体化系统,在跟踪过程中会受到一些非线性干扰,例如转矩脉动,风干扰和电缆拖曳力。为了抑制大型天文望远镜的非线性干扰并提高跟踪精度,本文探索了一种智能模糊控制算法,该算法包含了工程师丰富的实验经验,并具有较强的归纳能力。仿真结果表明,模糊控制器比传统的PID控制器具有更强的抑制非线性干扰的能力。在1米望远镜实验平台上的测试还证明它非常稳定,并且在超低跟踪速度0.2“ / s时位置跟踪误差的RMS仅0.012”。在快速跟踪速度为6°/ s,加速度为5°/ s〜2的情况下,位置跟踪误差的均方根值仅接近1.8“。有效地改善了望远镜的跟踪系统,并极大地抑制了非线性干扰,并且跟踪精度得到了极大的提高。

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