引用本文:谷志锋,朱长青,邵天章,刘洪文,刘璞.全状态参数最优控制的鲁棒自适应励磁控制[J].控制理论与应用,2013,30(7):856~862.[点击复制]
GU Zhi-feng,ZHU Chang-qing,SHAO Tian-zhang,LIU Hong-wen,LIU Pu.Robust adaptive control for the excitation system based on total-state-parameter optimum control[J].Control Theory and Technology,2013,30(7):856~862.[点击复制]
全状态参数最优控制的鲁棒自适应励磁控制
Robust adaptive control for the excitation system based on total-state-parameter optimum control
摘要点击 2115  全文点击 1448  投稿时间:2012-09-16  修订日期:2013-02-27
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DOI编号  10.7641/CTA.2013.20963
  2013,30(7):856-862
中文关键词  励磁系统  鲁棒自适应最优控制  军用移动电站  改进型backstepping控制  L2增益干扰抑制
英文关键词  excitation system  robust adaptive optimum control  military moving power station  improved backstepping control  L2-disturbance attenuation control
基金项目  军械工程学院重点院基金资助项目(YJJ10031, YJJXM12046).
作者单位E-mail
谷志锋* 军械工程学院 车辆与电气工程系 gzfgohappy@163.com 
朱长青 军械工程学院 车辆与电气工程系  
邵天章 军械工程学院 车辆与电气工程系  
刘洪文 军械工程学院 车辆与电气工程系  
刘璞 军械工程学院 车辆与电气工程系  
中文摘要
      在backstepping励磁设计中, 虚拟控制函数的参数缺乏最优约束, 为了克服此不足, 通过坐标变换得到了新的励磁系统动态模型和参数替换律, 结合反馈线性化和最优控制策略, 在不确定参数和外部干扰两种条件下, 给出了具有全状态参数最优控制的鲁棒自适应励磁控制设计方法. 为了验证所提方法的正确性, 以具体军用电站励磁系统模型为例, 进行了仿真实验. 仿真结果表明该方法在保证系统鲁棒稳定性和L2增益干扰抑制的同时, 可明显提高状态参数的收敛速度和优化控制能力.
英文摘要
      In the traditional bacstepping design of the excitation system, the parameters in the virtual control function are lack of restrain. In order to overcome this shortage, we transform the coordinates to obtain the new dynamic model and the parameter replacement law for the excitation system. When the uncertain parameters and the disturbances of the system are taken into account, we obtain the robust adaptive excitation control law with all state parameters in restrain. To validate the efficacy, we simulate the control of a military moving power station by applying the proposed method. Simulation results show that this method can guarantee the system robustness, suppress the L2 gain disturbance, improve the convergence speed and achieve the total state-parameter optimum control.