Collaborative Trajectory Planning and Tracking Control for Wind Turbine Blade Mountain Transport Vehicles

This paper investigates collaborative trajectory planning and tracking control for semi-trailer-mounted lifting vehicles used in wind turbine blade transport on complex mountainous roads. The proposed approach addresses the challenging problem of coordinating the articulated chassis with a three-degree-of-freedom upper operating device during ultra-long blade transport. First, a unified kinematic model of the articulated chassis and the three-degree-of-freedom upper operating device is established for collaborative trajectory planning and tracking control under low-speed transport conditions. In addition, a dynamic formulation is provided to describe the inertial coupling characteristics of the vehicle-blade system. Second, a continuous trajectory planning method driven by task gradients is proposed to generate collision-free trajectories satisfying multiple constraints, including kinematic feasibility, obstacle avoidance, and actuator limits. A damping injection strategy is introduced to improve numerical conditioning during the iterative optimization process. Third, a linear time-varying model predictive controller is designed based on local linearization along the reference trajectory, which handles system constraints explicitly and achieves high-precision trajectory tracking. Simulation and hardware-in-the-loop experiments show that the proposed method generates smooth and feasible trajectories, while the tracking controller achieves engineering-level position accuracy and joint-angle tracking errors below 3 degrees, satisfying practical requirements for wind turbine blade transport on mountainous roads.

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Publication Details

Journal
Electronics
Published
2026-07-24
DOI
https://doi.org/10.3390/electronics15153268
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Collaborative Trajectory Planning and Tracking Control for Wind Turbine Blade Mountain Transport Vehicles

Yinshu Wang, Bo-Yi Zhang, M Z Wang, Yi-Xiang Wang et al.
Electronics
Vehicle Dynamics and Control Systems
article

Collaborative Trajectory Planning and Tracking Control for Wind Turbine Blade Mountain Transport Vehicles

Yinshu Wang, Bo-Yi Zhang, M Z Wang, Yi-Xiang Wang, Haitao Tian, Huaxin Yu, Dengyue Sun, Yahui Zhang
article en

Abstract

This paper investigates collaborative trajectory planning and tracking control for semi-trailer-mounted lifting vehicles used in wind turbine blade transport on complex mountainous roads. The proposed approach addresses the challenging problem of coordinating the articulated chassis with a three-degree-of-freedom upper operating device during ultra-long blade transport. First, a unified kinematic model of the articulated chassis and the three-degree-of-freedom upper operating device is established for collaborative trajectory planning and tracking control under low-speed transport conditions. In addition, a dynamic formulation is provided to describe the inertial coupling characteristics of the vehicle-blade system. Second, a continuous trajectory planning method driven by task gradients is proposed to generate collision-free trajectories satisfying multiple constraints, including kinematic feasibility, obstacle avoidance, and actuator limits. A damping injection strategy is introduced to improve numerical conditioning during the iterative optimization process. Third, a linear time-varying model predictive controller is designed based on local linearization along the reference trajectory, which handles system constraints explicitly and achieves high-precision trajectory tracking. Simulation and hardware-in-the-loop experiments show that the proposed method generates smooth and feasible trajectories, while the tracking controller achieves engineering-level position accuracy and joint-angle tracking errors below 3 degrees, satisfying practical requirements for wind turbine blade transport on mountainous roads.

ElectronicsVol. 15(15)
Zhengzhou University of Light Industry (CN), Henan University of Technology (CN), Yanshan University (CN), Shandong Academy of Agricultural Machinery Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 15%
Vehicle Dynamics and Control Systems
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