Study on the system design and control method of a semi-active heave compensation system

Li, Mingjie; Gao, Pan; Zhang, Junliang; Gu, Jijun; Zhang, Yingjin

doi:10.1080/17445302.2017.1342893

Cited by 24 publications

(9 citation statements)

References 9 publications

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“…where μ is the ratio of lifting and sinking displacement to wave height ( μ takes a value between 0.1 and 0.3 for waves less than level 4 and between 0.3 and 0.5 for levels 4–6 24 ), H is the wave height, T is the period; y is the mother ship displacements.…”

Section: Mechanical Analysis Of Electric Drive Traction Winch Cablementioning

confidence: 99%

“…where m is the ratio of lifting and sinking displacement to wave height (m takes a value between 0.1 and 0.3 for waves less than level 4 and between 0.3 and 0.5 for levels 4-6 24 ), H is the wave height, T is the period; y is the mother ship displacements. Thus the heave velocity v of the mother ship and the acceleration a can be obtained from the derivation of equation ( 1) for time t as follows:…”

Section: Ship Equations Of Motionmentioning

confidence: 99%

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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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Section: Mechanical Analysis Of Electric Drive Traction Winch Cablementioning

confidence: 99%

Section: Ship Equations Of Motionmentioning

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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show abstract

“…Compared with the traditional active heave compensator, the underwater components controlled by ADHC can be stabilized much faster, especially when the external interference is unknown [24]. The simulation results of Li et al showed that with the second-order active disturbance rejection controller, the compensation efficiency based on tension feedback control was up to 98% [25]. Li and Ma et al presented an ADRC-ESMPC double-loop controller for a hydraulic valve-based active heave compensation system, which was proved to be effective through simulation [26].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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Heave compensation systems are of great importance to the safety and efficiency of marine operations subject to irregular-wave excitation. While many efforts have been made to improve the displacement compensation control, only a few of researchers pay their attention on tension compensation control. This paper presents an adaptive robust integral sliding mode control (ARISMC) based on the back-stepping method to realize constant tension control of hybrid active-passive heave compensator (HAHC) applied to heavy deep-sea towing systems. The proposed ARISMC is intended to overcome the effects of parametric uncertainties, uncertain nonlinearities, and external disturbances in the electro-hydraulic system of HAHC. The stability of the whole system is proved using common Lyapunov method. To verify the effectiveness of the proposed controller, we carried out a number of simulations and experiments using the measured heave motion data under different sea conditions. The results demonstrate that the ARISMC controller presented in this paper has better advantages than the traditional PI controller in the accuracy and robustness of tension compensation. INDEX TERMS Adaptive robustness, constant tension, heave compensation, heavy tow, integral sliding mode.

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“…Do and Pan [6] proposed a method to construct a nonlinear controller of the active heave compensation system using electrohydraulic system driven by two-bar actuators to reduce the influence of ship heave motion on riser response. At present, PID control, fuzzy control, adaptive control, and active disturbance rejection control have been applied to the wave compensation system [7][8][9][10][11][12]. Mei et al [7] designed the PID control system based on the variable parameters, considering the instability and conditions of the marine environment and realize speed compensation.…”

Section: Introductionmentioning

confidence: 99%

“…Feng et al [9] proposed a control strategy based on a fuzzy adaptive method and a motion prediction model to overcome the delay problem in the wave compensation actuator and the nonlinear timevarying problem in the wave motion. Li et al [10] applied a newly developed second-order active disturbance rejection controller to the control strategy of the heave compensation tension, which improved the control accuracy. Chen and Liang [11] applied the integrated design of intelligent control algorithms such as hybrid fuzzy PID control algorithm, force feedback control algorithm, and feed-forward control algorithm to the wave compensation platform, which improved the control performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

Zhou

Wang

2019

Advances in Materials Science and Engineering

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The transfer function of the wave compensation system is deduced. The interference signal acting on the system is eliminated by the feed-forward compensation correction method. The pole assignment of the system is carried out after eliminating the interference signal. The genetic PID algorithm is proposed, and the genetic PID controller is designed. The control block diagram of the wave compensation system based on the genetic PID control algorithm is established, and the optimal index and PID parameters are optimized by the crossover and mutation operators of the genetic particle swarm optimization algorithm. The simulations and experiments of the system show that the control performance of the wave compensation system based on the genetic PID algorithm is greatly improved. The higher control precision is obtained. The anti-interference ability and the robustness of the system are increased. The accuracy of the control method is verified.

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Study on the system design and control method of a semi-active heave compensation system

Cited by 24 publications

References 9 publications

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

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

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

Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

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