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作 者:诸云[1] 徐正兴 江炜 ZHU Yun;XU Zhengxing;JIANG Wei(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;School of Information Science and Engineering,Fudan University,Shanghai 201100,China)
机构地区:[1]南京理工大学自动化学院,南京210094 [2]复旦大学信息科学与工程学院,上海201100
出 处:《无人系统技术》2025年第1期97-107,共11页Unmanned Systems Technology
摘 要:微纳卫星凭借其研发周期与经济效益的优势从卫星中脱颖而出,其姿控系统控制算法的研究是卫星研究中的热点和难点。首先对微纳卫星姿控系统控制算法的发展历程进行介绍。其次对微纳卫星姿控系统的总体方案进行设计,搭建了微纳卫星姿控系统控制的动力学和运动学模型。然后通过构建抗扰动观测器、设计滑模面、引入滑模控制律及自抗扰补偿器,更新系统状态以确保其沿滑模面收敛至平衡点,从而提出了一种新的自抗扰滑模融合控制算法。最后经过Simulink仿真对比,在快速性方面,所提算法相对PID控制算法优化率为61.2%,相对自抗扰控制算法优化率为59.4%;在稳定性方面,所提算法相对于PID控制算法和自抗扰控制算法均提升约20%。所提算法在对姿态角速度、姿态四元数、姿态欧拉角的控制的快速性以及稳定性方面取得了很好的优化效果,在实际的工程应用中有着较为良好的参考价值。Micro and nano satellites stand out among satellites due to their advantages in research and development cycle and economic benefits.The study of attitude control system control algorithms is a hot and difficult topic in satellite research.This article first introduces the development history of control algorithms for micro nano satellite attitude control systems.Secondly,the overall scheme of the attitude control system for micro nano satellites was designed,and dynamic and kinematic models for the control of the micro nano satellite attitude control system were established.Then,a new adaptive disturbance rejection sliding mode fusion control algorithm was proposed by constructing an disturbance rejection observer,designing a sliding mode surface,introducing a sliding mode control law and an active disturbance rejection compensator to update the system state to ensure its convergence to the equilibrium point along the sliding mode surface.Finally,through Simulink simulation comparison,in terms of speed,the adaptive disturbance rejection sliding mode fusion control algorithm has an optimization rate of 61.2%compared to the PID control algorithm and 59.4%compared to the ADRC algorithm.In terms of stability,the adaptive disturbance rejection sliding mode fusion control algorithm improves by about 20%compared to PID control algorithm and ADRC algorithm.The fusion control algorithm has achieved good optimization results in the speed and stability of controlling attitude angular velocity,attitude quaternion,and attitude Euler angle.The active disturbance rejection sliding mode fusion control algorithm has good reference value in practical engineering applications.
关 键 词:融合控制 PID 动力学 滑模控制 姿轨控 自抗扰
分 类 号:V249[航空宇航科学与技术—飞行器设计]
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