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Adaptive-back-stepping-based controller design for double-pendulum rotary cranes.

Xiaodong Miao1, Hongjie Zhu2, Shishou Li2

  • 1School of Mechanical and Power Engineering, Nanjing Tech University, No. 30, Puzhu Road(s), Nanjing, 211816, China.

ISA Transactions
|December 1, 2022
PubMed
Summary

This study introduces a novel nonlinear controller for rotary cranes to mitigate load sway and precisely position the boom. The adaptive back-stepping method enhances control robustness, outperforming traditional techniques in complex scenarios.

Keywords:
Adaptive-back-stepping-based controlRotary cranesVibration control

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Area of Science:

  • Robotics and Control Systems
  • Mechanical Engineering
  • Applied Mathematics

Background:

  • Rotary crane operation involves complex dynamics and unpredictable load sway, complicating system analysis and controller design.
  • Traditional control methods often rely on model linearization, reducing robustness against parameter uncertainties and external disturbances.
  • Existing approaches struggle with maintaining control effectiveness when crane parameters are unknown or disturbances are present.

Purpose of the Study:

  • To develop a robust nonlinear controller for rotary cranes capable of eliminating load sway and achieving accurate boom positioning.
  • To address the limitations of traditional control methods in handling complex and unpredictable operating conditions.
  • To enhance the overall stability and performance of rotary crane systems.

Main Methods:

  • Kinematic analysis was employed to derive a comprehensive rotary crane model.
  • An adaptive back-stepping control strategy was designed to manage system nonlinearities and uncertainties.
  • Lyapunov stability theory was utilized to rigorously prove the stability of the proposed control system.

Main Results:

  • The proposed adaptive back-stepping controller effectively achieved pendulum elimination and precise boom positioning.
  • The nonlinear control approach demonstrated superior robustness compared to traditional methods under varying conditions.
  • Experimental validation confirmed the enhanced performance and stability of the developed control system.

Conclusions:

  • The adaptive back-stepping controller offers a robust and effective solution for rotary crane control, overcoming limitations of conventional methods.
  • The study validates the efficacy of nonlinear control strategies in managing complex crane dynamics and ensuring operational stability.
  • This research contributes to improved safety and efficiency in rotary crane operations through advanced control techniques.