引用本文:张慎鹏,张登峰,王执铨.线性参变过驱动系统鲁棒控制分配策略[J].控制理论与应用,2017,34(12):1621~1630.[点击复制]
ZHANG Shen-peng,ZHANG Deng-feng,WANG Zhi-quan.Robust control allocation strategy for linear parameter-varying over-actuated systems[J].Control Theory and Technology,2017,34(12):1621~1630.[点击复制]
线性参变过驱动系统鲁棒控制分配策略
Robust control allocation strategy for linear parameter-varying over-actuated systems
摘要点击 2727  全文点击 1295  投稿时间:2017-01-09  修订日期:2017-07-13
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DOI编号  10.7641/CTA.2017.70019
  2017,34(12):1621-1630
中文关键词  过驱动系统  鲁棒控制分配  锥二次优化  线性参变系统
英文关键词  over-actuated systems  robust control allocation  second-order cone programming  linear parameter-varying systems
基金项目  资助项目:国家自然科学基金(61374133, 61673205, 51275245),江苏省重点研发计划项目(BE2015125, BY2016004-06),江苏省科技成果转化项目(BA2016155),江苏省高校优势学科建设工程项目(PAPD).
作者单位E-mail
张慎鹏 南京理工大学机械工程学院 977620773@qq.com 
张登峰* 南京理工大学 机械工程学院 mydfzhang@qq.com 
王执铨 南京理工大学 自动化学院  
中文摘要
      针对一类具有不确定时变参量的线性参变(linear parameter-varying, LPV)过驱动系统的控制分配问题, 考 虑系统的不确定参量扰动和执行器物理约束, 利用伪控指令分配误差和控制量误差的1--范数, 建立了含有时变不确 定因子的控制分配优化模型. 根据鲁棒优化思想, 采用矢量变换技术处理时变不确定因子, 得到了一种基于有约束 锥二次凸优化模型的鲁棒控制分配算法, 实现对LPV过驱动系统伪控指令的在线优化分配. 最后, 对某4轮电动汽车 时变二自由度转向过驱动控制系统的对比仿真实验表明, 相比常规4WS和伪逆控制分配方法, 本文的鲁棒控制分配 算法有效地降低了系统参变量不确定扰动的影响, 得到更合理的控制分配解, 有效改善了车辆的操纵稳定性.
英文摘要
      The control allocation problem is studied for a class of linear parameter-varying (LPV) over-actuated systems with uncertain time-varying parameters in this paper. In view of the uncertain parameter perturbations and actuators physical constraints, a control allocation optimization model with time-varying uncertainties is established based on the 1-norms of allocation error of pseudo-control command and the control input error. According to the principle of robust optimization, the robust control allocation algorithm based on constrained second-order cone programming model is developed by using vector transforms technology to deal with time-varying uncertainties. The online optimal allocation of pseudo-control command is thus realized for LPV over-actuated systems. Finally, the comparative simulations are executed for the steering over-actuated control system with time varying 2--DOF of a four-wheel electric-vehicle. The simulative results indicated that the proposed robust control allocation algorithm can effectively reduce the influence of parametric uncertainties on the system, compared with the conventional 4WS and pseudo-inverse control allocation methods. The more reasonable control allocation solution is obtained, and the vehicle handling stability is improved.