Overhead Crane

adaptive sliding mode fuzzy control for a two dimentional overhead crane

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Summary

Jun 01, 2005 · An adaptive sliding mode fuzzy control algorithm is designed for both X -direction transport and Y -direction transport of the overhead crane. Combining SMC’s robustness and FLC’s independence of system model, the proposed control law can guarantee a […]

adaptive sliding mode fuzzy control for a two dimentional overhead crane

Jun 01, 2005 · An adaptive sliding mode fuzzy control algorithm is designed for both X -direction transport and Y -direction transport of the overhead crane. Combining SMC’s robustness and FLC’s independence of system model, the proposed control law can guarantee a swing-free transport. The remainder of this paper is organized as follows.

Adaptive sliding mode fuzzy control for a two-dimensional

An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane. System linearization transforms the two-dimensional system to two independent systems: X-direction transport system and Y-direction transport system. Both the two systems are with the same dynamic model and include two subsystems: positioning subsystem and anti-swing subsystem.

An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane.

Abstract—An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane. System linearization transforms the two-dimensional system to two independent systems: X-direction transport system and Y-direction transport system.

Since the two-dimensional overhead crane can be decouped into two independent transport systems, a control algorithm will be designed for both of them. Only the X-direction transport system is considered below. A. Sliding mode fuzzy control (SMFC) Consider a second-order system of the form as follows: x f X b X u x x 2 ( ) ( ) 1 2 = + = & & (11)

Abstract—An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane. System linearization transforms the two-dimensional system to two independent systems: X-direction transport system and Y-direction transport system.

An Enhanced Adaptive Sliding Mode Fuzzy Control for

An enhanced adaptive sliding mode fuzzy approach is applied to control the position and load swing of a 3D overhead crane system. The merits of this method include the robustness and model free properties of the sliding mode and fuzzy logic controllers, respectively. An adaptable slope of sliding surface is presented and the chattering phenomenon of sliding mode control is also discussed to

In this paper, a novel direct adaptive fuzzy moving sliding mode proportional integral (PI) tracking control of a three-dimensional (3D) overhead crane which is modeled by five highly nonlinear second-order ordinary differential equations is proposed.

CiteSeerX – Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane. System linearization transforms the two-dimensional system to two independent systems: X-direction transport system and Y-direction transport system.

dimensional overhead crane. Two sliding mode controllers are designed to perform the trajectory tracking. One is proposed to control hoisting and lowering the suspended payload, and the other one is proposed to control both trolley positioning and payload swaying. Considering the second sliding mode controller is used to control two degrees

Dec 12, 2016 · Traditionally, 3-D overhead crane systems are widely used in industry and automatic operation would reduce the risk. It is difficult to precisely position the payload in overhead crane due to the lack of actuators in this system. This paper develops an adaptive robust ability of high – order sliding mode controller (HOSMC).

Switched Two-Level and Robust Fuzzy Learning Control of an

In order to verify performance of the proposed control scheme, case studies of simulations and experiments are conducted. In the simulations, a comparison with the adaptive fuzzy control method (AFCM) of is made. In experimental studies, a two-dimensional prototype crane system is used. 4.1. Simulation Study

An adaptive sliding mode fuzzy control of a two dimensional overhead crane was proposed by Liu et al. (2004). A model of the crane system was obtained by considering it as two independent systems in X and Y directions respectively.

considered an adaptive sliding mode fuzzy control approach for overhead cranes in case of combination of trolley moving and bridge traveling. However, the cargo suspended cable is viewed as a constant length element. The works [8]-[10] only achieve the simulation results without experiment. Motivated by [8]-[11], we propose the sliding mode controller for overhead crane in which

In this paper, a novel direct adaptive fuzzy moving sliding mode proportional integral (PI) tracking control of a three-dimensional (3D) overhead crane which is modeled by five highly nonlinear

Adaptive fuzzy observer based hierarchical sliding mode control for uncertain 2D overhead cranes. Hai Xuan Le. Department of Automatic Control, Hanoi University of …

Three-Dimensional Crane Modelling and Control Using Euler

Abstract. The mathematical model of the three-dimensional crane using the Euler-Lagrange approach is derived. A state-space representation of the derived model is proposed and explored in the Simulink ® environment and on the laboratory stand. The obtained control design was simulated, analyzed and compared with existing encoder-based system provided by the three-dimensional (3D) Crane

Motion planning for three-dimensional overhead cranes with high-speed load hoisting, International Journal of Control 78 (12): 875–886. Lee, S.-G., Nho, L.C. and Kim, D.H. (2013). Model reference adaptive sliding mode control for three dimensional overhead cranes, International Journal of Precision Engineering and Manufacturing 14 (8): 1329

section 2, the dynamic model of 2-dimensional overhead crane is built, the linearized model is derived and a conclusion is obtained that two-dimensional overhead crane can be divided into two independent transport systems. In section 3, an adaptive fuzzy sliding mode control algorithm is proposed for both X-direction and Y-direction