Large wind turbine blades can be transported using a specialized truck called the Wind Turbine Blade Mountain Transporter (WTBMT). However, during transit, the vehicle’s body and surrounding conditions make it more vulnerable to rollover issues brought on by impacts from the road. The goal of this research project is to overcome the rollover issue by modifying the Active Suspension System’s (ASS) control force. It is based on the repetitive nature of the WTBMT uphill tooling operation. In this work, we establish 2-DOF and 4-DOF ASSs, and based on them, we suggest a feedback-feedforward control technique that combines LQR control and iterative learning (ILC) control to avoid sudden changes in the sprung mass displacement. Ultimately, the simulation analysis demonstrates that the suggested approach not only solves the jitter issue and makes the ASS learnable, demonstrating its efficacy and producing superior outcomes.

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Active Suspension Anti-rollover Control Strategy for Wind Turbine Blade Mountain Transport Vehicles

  • Yiying Wang,
  • Zhong Wang,
  • Yuchen Wang,
  • Mingyang Wang,
  • Yuhao Jiang

摘要

Large wind turbine blades can be transported using a specialized truck called the Wind Turbine Blade Mountain Transporter (WTBMT). However, during transit, the vehicle’s body and surrounding conditions make it more vulnerable to rollover issues brought on by impacts from the road. The goal of this research project is to overcome the rollover issue by modifying the Active Suspension System’s (ASS) control force. It is based on the repetitive nature of the WTBMT uphill tooling operation. In this work, we establish 2-DOF and 4-DOF ASSs, and based on them, we suggest a feedback-feedforward control technique that combines LQR control and iterative learning (ILC) control to avoid sudden changes in the sprung mass displacement. Ultimately, the simulation analysis demonstrates that the suggested approach not only solves the jitter issue and makes the ASS learnable, demonstrating its efficacy and producing superior outcomes.