## 留言板

 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.
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.

• 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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