| 引用本文: | 杨楠,郁丰,马浩哲,赵航.基于聚类变异PSO优化的VSCMGs模糊平滑切换算法[J].哈尔滨工业大学学报,2023,55(10):93.DOI:10.11918/202208117 |
| YANG Nan,YU Feng,MA Haozhe,ZHAO Hang.Fuzzy smooth switching algorithm for VSCMGs based on clustering-mutated PSO[J].Journal of Harbin Institute of Technology,2023,55(10):93.DOI:10.11918/202208117 |
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| 基于聚类变异PSO优化的VSCMGs模糊平滑切换算法 |
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杨楠1,2,郁丰1,2,马浩哲1,2,赵航1,2
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(1.南京航空航天大学 航天学院,南京 210016; 2.空间光电探测与感知工业和信息化部重点实验室(南京航空航天大学),南京 210016)
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| 摘要: |
| 针对变速控制力矩陀螺（variable speed control moment gyro,VSCMG）作为执行机构应用在敏捷遥感卫星上进行姿态机动时末端模式切换的平稳性和快速性冲突问题,在考虑框架转速误差的基础上,设计姿态误差参数作为切换指标,制定误差参数切换区域内的过渡规则,将指令力矩实时分配给控制力矩陀螺（control moment gyro,CMG）和飞轮并分别求解,提出了一种控制力矩陀螺/反作用飞轮工作模式模糊平滑切换操纵律。为了使得姿态机动末端卫星姿态达到姿态稳定度和指向精度要求的时间更短,以该时间为优化指标提出聚类变异改进粒子群算法对该操纵律参数寻优,确定最佳的切换区域和切换参数,并进行了仿真验证。结果表明:改进后粒子群算法在相同的迭代次数中总是表现出比传统粒子群算法更优的适应度,具有更快的收敛速度和更高的收敛精度,参数优化后的模糊平滑切换操纵律相比于现有操纵律能够在较短时间内完成双模式的平滑切换,并在姿态机动末端更迅速地达到姿态稳定度和指向精度要求,提高了遥感卫星敏捷机动与高稳指向的控制性能,有利于高质量完成成像任务。 |
| 关键词: 敏捷遥感卫星 变速控制力矩陀螺 模糊切换 粒子群优化算法 姿态控制 |
| DOI：10.11918/202208117 |
| 分类号:V11 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(61673212) |
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| Fuzzy smooth switching algorithm for VSCMGs based on clustering-mutated PSO |
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YANG Nan1,2,YU Feng1,2,MA Haozhe1,2,ZHAO Hang1,2
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(1.College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2.Key Lab of Space Photoelectric Detection and Perception Nanjing University of Aeronautics and Astronautics,Ministry of Industry and Information Technology(Nanjing University of Aeronautics and Astronautics), Nanjing 210016, China)
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| Abstract: |
| Aiming at the conflict of the stationary and rapidness of the terminal mode switching when the variable speed control moment gyro is applied as the actuator on the agile remote sensing satellite for attitude maneuver, on the basis of considering the frame speed error, the attitude error parameter is designed as the switching index, the transition rule within the error parameter switching area is formulated, and the command torque is assigned to CMG and flywheel in real time and solved respectively. A control torque gyroscope/reaction flywheel fuzzy smooth switching control law is proposed. In order to make the attitude of the satellite at the end of attitude maneuver reach the requirements of attitude stability and pointing accuracy in a shorter time, the clustering variation improved particle swarm optimization algorithm is proposed to optimize the parameters of the control law and determine the best switching region and switching parameters. Finally, the simulation results show that the improved particle swarm optimization algorithm always shows better fitness than the traditional particle swarm optimization algorithm in the same iteration times, with faster convergence speed and higher convergence accuracy. Compared with the existing control law, the fuzzy smooth switching control law after parameter optimization can complete the smooth switching of dual modes in a shorter time. At the end of attitude maneuver, the requirements of attitude stability and pointing accuracy can be reached more quickly, and the control performance of agile maneuver and high stable pointing of remote sensing satellites can be improved, which raises the quality of imaging mission. |
| Key words: agile remote sensing satellite variable speed control moment gyro fuzzy switching particle swarm optimization attitude control |
