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采用RBF网络的喷雾机喷杆自适应动态面跟踪控制

芦泽阳 李树江 王向东

芦泽阳, 李树江, 王向东. 采用RBF网络的喷雾机喷杆自适应动态面跟踪控制[J]. 应用数学和力学, 2019, 40(7): 801-809. doi: 10.21656/1000-0887.390270
引用本文: 芦泽阳, 李树江, 王向东. 采用RBF网络的喷雾机喷杆自适应动态面跟踪控制[J]. 应用数学和力学, 2019, 40(7): 801-809. doi: 10.21656/1000-0887.390270
LU Zeyang, LI Shujiang, WANG Xiangdong. Adaptive RBF-Network Dynamic Surface Tracking Control of Sprayer Boom Systems[J]. Applied Mathematics and Mechanics, 2019, 40(7): 801-809. doi: 10.21656/1000-0887.390270
Citation: LU Zeyang, LI Shujiang, WANG Xiangdong. Adaptive RBF-Network Dynamic Surface Tracking Control of Sprayer Boom Systems[J]. Applied Mathematics and Mechanics, 2019, 40(7): 801-809. doi: 10.21656/1000-0887.390270

采用RBF网络的喷雾机喷杆自适应动态面跟踪控制

doi: 10.21656/1000-0887.390270
基金项目: 国家“十三五”重点课题(2016YFD0700104)
详细信息
    作者简介:

    芦泽阳(1993—),男,硕士生(通讯作者. E-mail: lzyluxiaoyang@163.com).

  • 中图分类号: TH273

Adaptive RBF-Network Dynamic Surface Tracking Control of Sprayer Boom Systems

  • 摘要: 为了实现喷雾机喷杆快速而准确地伺服跟踪农作物冠层高度,选用电液伺服系统作为其位置调节装置,系统建模以喷雾机喷杆为负载的电液伺服系统.首先,充分考虑系统的强非线性和参数不确定因素,建立完整的数学模型;然后,采用动态面方法设计控制器,通过RBF网络对不确定项和非线性函数进行逼近,在控制律中加入阻尼项补偿干扰对系统性能的影响;基于Lyapunov稳定性方法,证明闭环系统信号最终一致有界;最后,对某喷雾机喷杆系统进行仿真验证,结果表明设计控制器具有良好的仿形跟踪控制性能.
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出版历程
  • 收稿日期:  2018-10-17
  • 修回日期:  2019-05-10
  • 刊出日期:  2019-07-01

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