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• W4386004639 abstract "In this work, we focus on controlling the 3-D overhead crane (3-DOC), the main problem when controlling the 3-DOC model is the problem of tracking the trajectory and reducing the load vibration. Therefore, the limitation of the system’s state variables must be made explicit. To solve this problem, firstly, the problem of orbital tracking is solved using the Sliding Mode Control (SMC), but the system’s states are not strictly controlled, so we propose a control method Lyapunov-based model predictive control (LMPC), which allows setting limits for state variables besides that, an auxiliary component is added based on the stability of the SMC to make the system globally stable. Finally, simulations are added to show the feasibility of the method for tracking, and anti-vibration for the payload." @default.
• W4386004639 created "2023-08-20" @default.
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• W4386004639 date "2023-01-01" @default.
• W4386004639 modified "2023-10-12" @default.
• W4386004639 title "Lyapunov-Based Model Predictive Control for 3D-Overhead Cranes: Tracking and Payload Vibration Reduction Problems" @default.
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• W4386004639 doi "https://doi.org/10.1007/978-981-99-4725-6_25" @default.
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