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新一代固体捆绑运载火箭在发射状态下,由推力矢量控制(TVC)系统环境温度变化引起的参数摄动问题严重。而传统的PID控制器无法满足输出力矩的精度要求,且系统鲁棒性较差。针对上述问题,提出了基于波波夫(Popov)超稳定性理论的在线辨识方案,用于实现电动伺服系统的自校正控制。同时,针对内嵌式永磁同步电机(IPMSM)在最大转矩电流比(MTPA)矢量控制方案下,自适应辨识系统存在的欠秩问题,提出了利用回归分析的补偿方法。经试验验证了该方案的有效性。
A new generation of solid-bound rocket launchers, thrust vector control (TVC) system temperature changes caused by environmental parameters of serious perturbation. The traditional PID controller can not meet the accuracy requirements of the output torque, and the system is less robust. In view of the above problems, an on-line identification scheme based on the Popov super-stability theory is proposed to realize the self-tuning control of the electric servo system. At the same time, aiming at the under rank problem of the embedded permanent magnet synchronous motor (IPMSM) under the maximum torque-to-current ratio (MTPA) vector control scheme, the compensating method using regression analysis is proposed. The validity of this scheme has been verified through experiments.