摘要
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。
During the solid rocket launching, as the operating temperature of thrust vector control （TVC） system is varying, the adverse effect of parameters perturbation can not be neglected. The traditional PID con- troller can not fullfill the precision requirement of output torque and the robustness of servo system is bad. In order to promote the pe^ormance of IPMSM based on MTPA, the model reference adaptive online identification based on Popov stability theory is designed to identify the varying parameters of servo motor for achieving self- adaptation control. In order to solve the rank-deficient problem, a compensating strategy based on regression analysis is proposed in this paper. The test result shows that the online identification strategy is effective.
出处
《航天控制》
CSCD
北大核心
2015年第6期13-17,34,共6页
Aerospace Control
