Tension control of wire rope in winch spooler using magneto rheological brake

Lee, Jae-Hak; Yun, Ye‐Rang; Hong, Hyun-Wook; Park, Myeong-Kwan

doi:10.1007/s12541-016-0020-1

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…In [19], the variable universe fuzzy PID control for Landing Gear based on MRF damper was established; the results showed that the variable universe fuzzy PID control had a better control effect than the general fuzzy PID controller. In [20], a conventional PID controller was designed for a tension control, and the experiment results showed the feasibility and better control effect for tension control of a winch spooler system. In [21], the on-off and PID controller were proposed to evaluate the controller's effectiveness in braking the wheel shaft at 50, 100 and 150N in varying speeds of 300, 500, 700 and 900 rpm; the simulation and experiment results showed that the PID controller had good performance compared with the on-off control.…”

Section: Pid Control Methodsmentioning

confidence: 99%

Parameters Tuning Approach for Proportion Integration Differentiation Controller of Magnetorheological Fluids Brake Based on Improved Fruit Fly Optimization Algorithm

Liu

Shi

2017

Symmetry

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Abstract:In order to improve the response performance of a proportion integration differentiation (PID) controller for magnetorheological fluids (MRF) brake and to reduce the braking fluctuation rate, an improved fruit fly optimization algorithm for PID controller parameters tuning of MRF brake is proposed. A data acquisition system for MRF brake is designed and the transfer function of MRF brake is identified. Moreover, an improved fruit fly optimization algorithm (IFOA) through integration of PID control strategy and cloud model algorithm is proposed to design a PID controller for MRF brake. Finally, the simulation and experiment are carried out. The results show that IFOA, with a faster response output and no overshoot, is superior to the conventional PID and fruit fly optimization algorithm (FOA) PID controller.

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Section: Pid Control Methodsmentioning

confidence: 99%

Parameters Tuning Approach for Proportion Integration Differentiation Controller of Magnetorheological Fluids Brake Based on Improved Fruit Fly Optimization Algorithm

Liu

Shi

2017

Symmetry

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“…Recently, the MR brakes have attracted the attentions for utilizing in various devices such as haptic joystick [14], haptic glove [15], e-bicycle [16], and robots [17,18]. For instance, Lee et al [17] employed rotary MR brake for controlling robotic ankle motion and optimized the prototype using genetic algorithm. Besides, they considered temperature effects on the performance of the brake.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, they considered temperature effects on the performance of the brake. Lee et al [17] utilized MR brake system to control tension of a rope in winch spooler system. First, they designed and simulated the system by FEM, then they fabricated and tested the most optimized configuration.…”

Section: Introductionmentioning

confidence: 99%

Design and shape optimization of MR brakes using Nelder–Mead optimization algorithm

Bazargan-Lari

2019

Mechanics & Industry

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Magnetorheological (MR) brakes have attracted many attentions for controlling mechanical systems such as robots, e-bicycles, and haptic devices. A large number of researchers have delved into enhancing MR brake effectiveness. Herein, a new MR brake is proposed in which the braking torque is improved and the configuration is simplified. Numerical simulations were based on finite element method (FEM) was employed to achieve the brake model. In order to verify the obtained results, they were compared with the available ones in the literature and they have a good agreement with each other. Then, the proper brake model was optimized using Nelder–Mead optimization algorithm. Results demonstrated 215.75 N m braking torque in the present prototype which is almost 73% higher than the previous model in the literature. In addition, the brake could induce about 125.06 N m torque on the brake disk with nearly half of the coil current used in the previous work. Besides, increase in the number of the disks was not necessarily improved braking efficiency and the size of the MR fluid gaps also influenced the brake operation. In addition, the proposed model in this paper has ease manufacturing procedure which would reduce the fabrication costs.

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“…Researchers have investigated considerably for acquiring better control result. Lee et al [2] used a magneto rheological brake to provide back tension to prevent frequent part changes and fatal malfunction for a tension control system, and a PID controller was designed, and test results showed the feasibility with satisfying the time constant and the allowable error. Nishida et al [3] divided the transport system into several subsystems and a selftuning PI controller with an estimator based on a novel adaptive particle swarm optimization method was constructed to solve the strong coupling between the velocity and tension of the web.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Novel Tension Control Method for Winding Machine

Zhang

Ding

et al. 2018

Chin. J. Mech. Eng.

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Filament winding has emerged as the main process for carbon fiber reinforced plastic (CFRP) fabrication, and tension control plays a key role in enhancing the quality of the winding products. With the continuous improvement of product quality and efficiency, the precision of the tension control system is constantly improving. In this paper, a novel tension control method is proposed, which can regulate the fiber tension and transport speed of the winding process by governing the outputs of three different driven rollers (the torque of the unwind roll, the torque of the magnetic powder brake roller, and the speed of the master speed roller) in three levels. The mechanical structures and dynamic models of the driven rollers and idle rollers are established by considering the time-varying features of the roller radius and inertia. Moreover, the influence of parameters and speed variation on fiber tension is investigated using the increment model. Subsequently, the control method is proposed by applying fiber tension in three levels according to the features of the three driven rollers. An adaptive fuzzy controller is designed for tuning the PID parameters online to control the speed of the master speed roller. Simulation is conducted for verifying the performance and stability of the proposed tension control method by comparing with those of the conventional PID control method. The result reveals that the proposed method outperforms the conventional method. Finally, an experimental platform is constructed, and the proposed system is applied to a winding machine. The performance and stability of the tension control system are demonstrated via a series of experiments using carbon fiber under different reference speeds and tensions. This paper proposes a novel tension control method to regulate the fiber tension and transport speed.

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Tension control of wire rope in winch spooler using magneto rheological brake

Cited by 9 publications

References 8 publications

Parameters Tuning Approach for Proportion Integration Differentiation Controller of Magnetorheological Fluids Brake Based on Improved Fruit Fly Optimization Algorithm

Parameters Tuning Approach for Proportion Integration Differentiation Controller of Magnetorheological Fluids Brake Based on Improved Fruit Fly Optimization Algorithm

Design and shape optimization of MR brakes using Nelder–Mead optimization algorithm

Design and Analysis of a Novel Tension Control Method for Winding Machine

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