Journal ArticleDOI
Hybrid Control for an Overhead Crane
TLDR
In this paper, a new combination of nonlinear backstepping scheme with fuzzy system is presented to control both position regulation and anti-swing control to avoid collision with other equipments.Abstract:
One of the common industrial structures that are used widely in many harbors and factories are overhead crane. Overhead cranes are usually operated manually or by some conventional control methods. In this study, a new combination of nonlinear backstepping scheme with fuzzy system is presented to control both position regulation and anti-swing control to avoid collision with other equipments. This study uses two different fuzzy systems: off-line and on-line to consider different concept. The backstepping design procedure consists of two steps. In all steps to design backstepping controller, Lyapunov stability theorem is used to stability analysis and control design problems. Furthermore, the stability of the overhead crane with nonlinear fuzzy backstepping controller is discussed. Simulation results illustrated the validity of the proposed control algorithm.
Key words: On-line fuzzy design, off-line fuzzy design, backstepping method, over head crane.read more
Citations
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Journal ArticleDOI
Fuzzy Controllers for a Gantry Crane System with Experimental Verifications
Naif B. Almutairi,Mohamed Zribi +1 more
TL;DR: The simulation and the experimental results demonstrate the robustness of the proposed control schemes against output disturbances as well as against uncertainty in some of the parameters of the crane.
Journal ArticleDOI
Novel Control Method for Overhead Crane's Load Stability☆
TL;DR: In this article, the authors developed the control of a system to minimize the stabilization time of a load swinging due to crane movement using a controller created from a Lyapunov function.
Proceedings ArticleDOI
A self-tuning neuromorphic controller to minimize swing angle for overhead cranes
TL;DR: A self-tuning neuromorphic controller technique is used for online adaptive control of a non-linear crane-mass system by applying a linear quadratic regulator for controlling the trolley position and swing motion of the crane system with an ability to adapt itself with the varying parameters and external disturbances.
Proceedings ArticleDOI
Digital control of trolley position and payload vibrations of non-linear Quanser three degree of freedom crane
TL;DR: In this paper, the authors have implemented PD control technique for payload vibration and trolley position control of jib system of three degree of freedom (3DOF) crane, and the performance of controllers have been investigated on Matlab/Simulink.
References
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A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
TL;DR: Cerebellar Model Articulation Controller is a neural network that models the structure and function of the part of the brain known as the cerebellum that exhibits properties such as generalization, learning interference, discrimination, and forgetting that are characteristic of motor learning in biological creatures.
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Residual Vibration Reduction Using Vector Diagrams to Generate Shaped Inputs
Journal ArticleDOI
Effects of hoisting on the input shaping control of gantry cranes
TL;DR: In this paper, the dynamic behavior of a planar gantry crane with hoisting of the load is investigated and the command generation method of input shaping is proposed for reduction of the residual vibration.
Journal ArticleDOI
Adaptive sliding mode fuzzy control for a two-dimensional overhead crane
TL;DR: An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane, combining SMC's robustness and FLC's independence of system model, for both X- direction transport and Y-direction transport.
Journal ArticleDOI
Adaptive Fuzzy Controller of the Overhead Cranes With Nonlinear Disturbance
TL;DR: This proposed method does not need the complex dynamic model of the crane system, but it uses trolley position and swing angle information instead to design the fuzzy controller, and an adaptive algorithm is provided to tune the free parameters in the crane control system.