多约束受扰追踪的微分对策滚动时域轨迹优化

doi:10.16183/j.cnki.jsjtu.2017.12.010

上海交通大学学报（自然版） ›› 2017, Vol. 51 ›› Issue (12): 1473-1479.doi: 10.16183/j.cnki.jsjtu.2017.12.010

多约束受扰追踪的微分对策滚动时域轨迹优化

程瑞锋1,刘卫东1,高立娥1,康智强2

1. 西北工业大学航海学院, 西安 710072； 2. 西安建筑科技大学机电学院，西安 710072

出版日期:2017-11-30 发布日期:2017-11-30
基金资助:
国家自然科学基金（61473224）,教育部重点实验室开放基金（310825161107）

Differential Game Trajectory Optimization Based on Receding Horizon Control for Multiple Constraints Tracking Systems with Additive Disturbance

CHENG Ruifeng1,LIU Weidong1,GAO Li’e1,KANG Zhiqiang2

1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China; 2. School of Mechanical Engineering, Xi’an University of Architecture and Technology, Xi’an 710072, China

Online:2017-11-30 Published:2017-11-30

摘要/Abstract

摘要： 针对复杂洋流干扰环境下水下多约束追踪问题，提出一种滚动时域非线性微分对策控制策略.基于智能体自导探测信息，建立水下追踪相对运动模型与追踪过程约束.通过分析追踪特性，确立以相对运动信息为变量的微分对策模型，结合零效控制和滚动预测算法的实施，设计出一种考虑过程约束和干扰的具有终端约束的水下追踪制导律.对不同期望终端交会角进行追踪的仿真结果表明，该制导策略能有效对抗干扰、实时调整约束，具有良好的时效性和较强的鲁棒性.

关键词: 微分对策, 滚动时域预测, 追踪, 轨迹优化

Abstract: The problem of underwater tracking with multiple constraints in the complex ocean environment is formulated as a nonlinear differential games based on receding horizon control. The tracking relative motion model of underwater tracking is established using the agent homing detection information, on which the process constraints are developed. Using the relative motion information as state variable, the differential games model is obtained by analyzing the tracking characteristics. The nonlinear differential games tracking guidance law based impact angle constrain is derived from the underwater multiple constraints tracking systems with additive disturbance by the implementation of zero efficiency control and rolling prediction algorithm. The simulation results show that the guidance law has high time efficiency and strong robustness, which can resist the interference and adjust the constraints in real time.

Key words: differential game, receding horizon control, tracking, trajectory optimization

中图分类号:

TJ 63

程瑞锋1,刘卫东1,高立娥1,康智强2. 多约束受扰追踪的微分对策滚动时域轨迹优化[J]. 上海交通大学学报（自然版）, 2017, 51(12): 1473-1479.

CHENG Ruifeng1,LIU Weidong1,GAO Li’e1,KANG Zhiqiang2. Differential Game Trajectory Optimization Based on Receding Horizon Control for Multiple Constraints Tracking Systems with Additive Disturbance[J]. Journal of Shanghai Jiaotong University, 2017, 51(12): 1473-1479.

参考文献

［1］SARKAR M, NANDY S, VADAI S R K, et al. Modeling and simulation of a robust energy efficient AUV controller［J］. Mathematics and Computers in Ssimulation, 2016, 121: 34-47. ［2］BARDHAN R, GHOSE D. Nonlinear differential games-based impact-angle-constrained guidance law ［J］. Journal of Guidance Control and Dynamics, 2015, 38: 1-19. ［3］SUN Jingliang, LIU Chunsheng, YE qing.Robust differential game guidance laws design for uncertain interceptor-target engagement via adaptive dynamic programming［J］. Internation Journal of Control, 2017, 90(5): 1-41. ［4］DESOUKY S F, SCHWARTZ H M. Self-learning fuzzy logic controllers for pursuit-evasion differential games［J］. Robotics and Autonomoussystems, 2011, 59(1): 22-33. ［5］方洋旺, 伍友利, 王洪强, 等. 导弹先进制导与控制理论［M］.北京: 国防工业出版社, 2015. ［6］高剑, 刘昌鑫. 基于应答器位置测量的水下AUV非线性模型预测对接控制［J］.西北工业大学报, 2015, 33(5): 861-866. GAO Jian, LIU Changxin. Nonlinear model predictive docking control for an AUV with USBL position measurements［J］. Journal of Northwestern Polytechnical University, 2015, 33(5): 861-866. ［7］张园, 徐琦, 孙明玮, 等. 基于快速全线性预测控制的混沌系统控制与同步［J］.物理学报, 2015, 64(1): 55-61. ZHANG Yuan, XU Qi, SUN Mingwei, et al.Control and synchronization in chaotic systems based on fast linear predictive control［J］. Acta Physica Sinica, 2015, 64 (1): 55-61. ［8］ELSISI M, SOLIMAN M, ABOELEA M A S, et al. Bat inspired algorithm based optimal design of model predictive load frequency control［J］. International Journal of Electrical Power and Energy Systems, 2016, 83: 426-433. ［9］席裕庚.预测控制［M］.北京: 国防工业出版社, 2013. ［10］周狄.寻的导弹新型导引规律［M］.北京: 国防工业出版社, 2002. ［11］LI Huiping, YAN Weisheng, SHI Yang. Continuous-time model predictive control of unded-actuated spacecraft with bounded control torques［ J］. Automatica, 2017, 75: 144-153. ［12］诸静. 智能预测控制及其应用［M］. 杭州: 浙江大学出版社, 2000.

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多约束受扰追踪的微分对策滚动时域轨迹优化

Differential Game Trajectory Optimization Based on Receding Horizon Control for Multiple Constraints Tracking Systems with Additive Disturbance

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