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

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

doi: 10.21656/1000-0887.390270
  • Received Date: 2018-10-17
  • Rev Recd Date: 2019-05-10
  • Publish Date: 2019-07-01
  • To realize fast and accurate servo tracking of the canopy height, an electro-hydraulic servo system was used for the position adjustment device. The electro-hydraulic servo system was modeled with the load of the sprayer boom. First, the strong non-linearity and parameters’ uncertainties were well considered and the complete system model was built, and the controller was designed with the dynamic surface control method. Then the RBF network was used to approximate the non-linearity and uncertainty functions, the control law was applied with damping terms to compensate for the disturbance influences on the system, and all the signals in the closed loop system were proved to be uniformly bounded based on the Lyapunov stability method. Finally, simulation and verification of a sprayer boom with the electro-hydraulic servo system were conducted. The results show that the designed controller has good copy tracking performances.
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