Constant Tension Control of Hybrid Active-Passive Heave Compensator Based on Adaptive Integral Sliding Mode Method

Yan, Fei; Fan, Kebin; Yan, Xuechen; Li, Shizhen

doi:10.1109/access.2020.2995651

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…¼ EA (20) According to the above mechanical-structure analysis, in the rewind section, the main mechanical structural factors affecting the yarn tension include the radius of the overfeed roller R i and distances L 1 and L 2 between the overfeed roller and the spindle, These parameters need to be adjusted according to the actual yarn characteristics in production. During the working process of the winding machine, the yarn tension is mainly adjusted by non-mechanical structural factors, such as the speed n 1 of the overfeed roller, the speed n 2 of the spindle, and the speed of the yarn guide.…”

Section: Rewind Sectionmentioning

confidence: 99%

“…Researchers have proposed many methods on the control algorithm, including fuzzy control, [12][13][14][15][16][17] sliding mode control, [18][19][20] neural networks, [21][22][23][24][25][26] iterative learning, [27][28][29][30][31] etc.…”

mentioning

confidence: 99%

“…This application provides a suitable method for spinning tension prediction, which is of great significance to the tension control of chemical fiber products. Researchers have proposed many methods on the control algorithm, including fuzzy control, 12–17 sliding mode control, 18–20 neural networks, 21–26 iterative learning, 27–31 etc.…”

mentioning

confidence: 99%

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Tension control of a yarn winding system based on the nonlinear active disturbance-rejection control algorithm

Zhang

Xia

Lu³

et al. 2022

Textile Research Journal

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This research proposes a new system for controlling yarn tension in the winding operation based on active disturbance-rejection control (ADRC) technology, which controls and minimizes the fluctuation of tension during winding. The mechanical structure of the winding machine was analyzed to clarify the main factors affecting the yarn tension. Proportional–integral–derivative (PID) control is the most common control method of the winding machine. In order to compare the control effects of ADRC and PID control, the mathematical model of the yarn-tension control system was established on the MATLAB platform by means of system identification. Through the simulation on this model, the results showed that under the action of disturbance, the overshoot of the yarn tension controlled by the active disturbance-rejection controller was smaller, the adjustment time was shorter, and the steady-state error was smaller. An experimental platform was built to test the control effect of the controller under different parameters, thereby verifying the performance and stability of the active disturbance-rejection controller. The results showed that the controller had good performance and stability.

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Section: Rewind Sectionmentioning

confidence: 99%

mentioning

confidence: 99%

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Tension control of a yarn winding system based on the nonlinear active disturbance-rejection control algorithm

Zhang

Xia

Lu³

et al. 2022

Textile Research Journal

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“…The results indicated that the reduction in the standard deviation of the rope tension may be up to 50% [8]. Yan et al designed an adaptive robust integral sliding mode control (ARISMC) based on the back-stepping control method strategy to realize constant tension control of hybrid active-passive heave compensator (HAHC) applied to heavy deep-sea towing systems [9]. Sandre-Hernandez et al introduced a PSO algorithm to identify the direct and quadrature stator inductances and the stator resistance of a PMS compensation motor [10], nevertheless, PSO algorithm is prone to find local optima when dealing with parameter optimization.…”

Section: Wave Generation and Ship Motion Coordinatementioning

confidence: 99%

Improved Fractional-Order PID Controller of a PMSM-Based Wave Compensation System for Offshore Ship Cranes

Chen

Wang

Benbouzid

et al. 2022

JMSE

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Wave compensation technology is crucial to the safety of the ship operation and the accurate placement of load. Its compensation efficiency and the gentle change of the rope tension are particularly important. In this paper, we adopt permanent magnet synchronous machine (PMSM) as the actuator to construct the basic wave compensation system. Firstly, the motion model of ship and load under wave action is established, and the fractional-order PID (FOPID) controller for the position loop of the PMSM is introduced. Then, the parameters of FOPID are optimized by genetic algorithm-particle swarm optimization (GAPSO) algorithm, which is based on genetic algorithms (GA) and particle swarm optimization (PSO) algorithms for better compensation performance. The wave synchronization strategy is used to simulate the load, when it needs to be taken into the water. The non-linear dynamic equations of the rope are solved by Lagrange mechanics and the heave displacement is obtained by time series prediction algorithm. Finally, the effect of wave compensation and wave synchronization strategy are verified on MATLAB/Simulink. The results show that after the compensation, the crane load can follow the set height value very well, the compensation efficiency can reach more than 94%, and the wave synchronization strategy significantly reduces the change of the rope tension.

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“…The results show that the proposed adaptive robust integral sliding film controller has advantages over the conventional PI controller regarding the accuracy and robustness of tension compensation. 22 From the above, most of the scholar’s research in lift and sink compensation is directed to the study of single reel hydraulic or electric winches and the study of controlled lift and sink displacement. There is little research on the constant tension control of traction winch under heave.…”

Section: Introductionmentioning

confidence: 99%

BP fuzzy neural network PID based constant tension control of traction winch

Zhu

Zhang

Zhao

et al. 2022

Measurement and Control

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As part of the ocean winch, the traction winch mainly plays the role of attenuating the load tension. It generally uses simple speed control. For the ship-based collection and release system, complex sea conditions make the cable tension constantly changes. The traditional control method will make the cable in the traction winch too slack or too tight. Meanwhile, it can result in the wrong rope, bite rope and slippage, and other phenomena. Eventually, it is leading to cable damage or breakage and equipment loss. Moreover, with the introduction of expensive photoelectric composite cables, there is a greater need for a good control algorithm to extend the life of the cable and ensure the safety of retrieval and release. Therefore, this paper focuses on the constant tension control of the traction winch cable. In this paper, the NARX neural network-based cable tension compensation value prediction model is established as the feedforward part based on historical ship heave displacement data and cable tension compensation data as training data. On this basis, the simulation model of cable constant tension winch based on common PID control, fuzzy PID control, and BP fuzzy neural network PID control are established. By comparing the tension of the cable with the above controller, the results show that the tension control of the cable based on the NARX neural network predicted tension compensation value plus BP fuzzy neural network PID control has high accuracy, fast dynamic response, smooth system, and no overshoot.

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Constant Tension Control of Hybrid Active-Passive Heave Compensator Based on Adaptive Integral Sliding Mode Method

Cited by 8 publications

References 26 publications

Tension control of a yarn winding system based on the nonlinear active disturbance-rejection control algorithm

Tension control of a yarn winding system based on the nonlinear active disturbance-rejection control algorithm

Improved Fractional-Order PID Controller of a PMSM-Based Wave Compensation System for Offshore Ship Cranes

BP fuzzy neural network PID based constant tension control of traction winch

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