Output-Constrained Controller with Fuzzy-Tuned Parameters for Overhead Cranes

TL;DR

This paper introduces a fuzzy-tuned nonlinear control approach with output constraints for overhead cranes, effectively reducing swing and improving positioning accuracy in systems with double pendulum effects.

Contribution

It presents a novel control method combining fuzzy adjustment, Lyapunov-based backstepping, and output constraints for overhead crane systems.

Findings

Enhanced swing suppression and positioning accuracy

Superior robustness demonstrated in simulations

Effective online parameter tuning for dynamic performance

Abstract

This study proposes a fuzzy-adjusted nonlinear control method based on torque jitter output limit constraints for overhead crane systems with double pendulum effects. The proposed control method can effectively suppress swing and achieve precise positioning. Firstly, by enhancing the coupling relationship between the trolley displacement and swing angle, a composite signal with an error term was designed. Then, an energy-based Lyapunov function was constructed using the composite error signal, which incorporated a new formulation of the inertia matrix and potential energy function. Subsequently, using the backstepping method in conjunction with the hyperbolic tangent function, a controller with partial performance constraints was designed. In addition, to further enhance the system's dynamic performance, a fuzzy control scheme with online adjustable system parameters was designed. Finally, the stability of the system is proven using Lyapunov theory combined with LaSalle's invariance principle. Simulation results demonstrate that the proposed controller exhibits superior performance and robustness.