FENG Jian-xin,WANG Ya-lei,WANG Qiang,et al.Active disturbance rejection controller of fast steering mirror based on improved dragonfly algorithm[J].Optics and Precision Engineering,2021,29(06):1301-1310.
FENG Jian-xin,WANG Ya-lei,WANG Qiang,et al.Active disturbance rejection controller of fast steering mirror based on improved dragonfly algorithm[J].Optics and Precision Engineering,2021,29(06):1301-1310. DOI: 10.37188/OPE.20212906.1301.
Active disturbance rejection controller of fast steering mirror based on improved dragonfly algorithm
为了提高天基激光武器光电跟瞄系统中快速反射镜(Fast Steering Mirror, FSM)的跟踪精度和抗干扰能力,建立了基于改进自抗扰控制器(Improved Active Disturbance Rejection Control, IADRC)的FSM闭环控制系统,对系统中IADRC的参数整定方法进行研究。由于试凑法整定效率低,传统优化算法整定易陷入局部最优,本文将蜻蜓算法用于IADRC参数整定,并对蜻蜓算法的惯性因子、列队因子和聚集因子的调整方式进行了改进,且在蜻蜓算法前期引入末位淘汰策略,后期引入贪婪策略,以进一步增强算法的全局搜索和局部开发能力。最后,在考虑卫星平台振动的情况下用基于改进前后蜻蜓算法的IADRC、基于粒子群优化算法的IADRC、基于遗传算法的IADRC、基于试凑法的IADRC和PID控制器分别控制FSM。实验结果表明:在FSM跟踪高频正弦信号时,基于改进蜻蜓算法的IADRC控制的FSM,其跟踪误差的均方根值为7.596 μrad,与其它5种控制器相比跟踪精度明显提升,基本满足激光武器领域中对FSM跟踪精度的要求。
Abstract
To improve the tracking accuracy and anti-interference ability of fast steering mirrors (FSMs) in the photoelectric tracking and pointing systems of space-based laser weapons, an FSM closed-loop control system based on an improved active disturbance rejection controller (IADRC) was presented herein. Owing to the inefficiency of obtaining IADRC parameters via trial and error and the ease of determining local optimal solutions using traditional optimization algorithms, an improved dragonfly algorithm was investigated as the parameter adjustment method of the IADRC. The inertial factors, alignment factors and cohesion factors of the dragonfly algorithm were modified, and the worst elimination strategy and the greedy strategy were introduced in the early and later stages of the algorithm to enhance the exploration and exploitation ability. Finally, a PID controller, an IADRC based on the trial method, a genetic algorithm, a particle swarm optimization algorithm, an initial dragonfly algorithm, and an improved dragonfly algorithm were employed in an FSM to track a high-frequency sinusoidal signal under the vibration of a satellite platform. Results show that when the FSM tracks high-frequency sinusoidal signals, the root-mean-square value of the tracking error in the case of the FSM controlled by the IADRC based on the improved dragonfly algorithm is 7.596 μrad. This is a significant improvement over the tracking accuracies of the FSMs controlled by other five controllers and meets the requirements of FSM tracking accuracy in the field of laser weapons.
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