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

Zhang, Hua; Xia, Huidi; Lu, Yongfa; Wu, Jie; Zhang, Xianghao; Wei, Yikun

doi:10.1177/00405175221114658

Cited by 7 publications

(5 citation statements)

References 26 publications

(39 reference statements)

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“…The Simulink Toolbox, as an essential component of the Matlab software, is widely utilized in the analysis of control systems. [36][37][38] It provides an integrated environment encompassing dynamic system modeling, simulation, and comprehensive analysis. According to the differential equations, simulation models for SWB and MWBs tension control system have been established to verify the rationality of the schemes and control effect.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Dynamic tension control for warp beams on sizing machine based on unwinding length monitoring

Tu,

Guo,

Wang

et al. 2024

Textile Research Journal

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The traditional tension control method with tension as the control target is to uniformly control multiple warp beams and has low control accuracy. Simultaneously, it is difficult to install an independent sensor for a single warp beam to achieve a closed-loop control, due to the space limitation. Combined with the theoretical model, this paper proposes a novel method to achieve the closed-loop unwinding tension control of warp beams by taking the unwinding length as the control target and using the self-developed turns measuring device. First, the dynamic model between different factors and unwinding tension was established in this study. Furthermore, the influence of unwinding radius, unwinding speed and winding density on the tension was investigated to clarify the fluctuation mechanism. Based on these, simulation experiments were conducted for verifying the control effect of the proposed method. The results showed that the proposed single warp beam unwinding tension control method can achieve constant tension throughout the unwinding process, which is superior to the empirical open-loop control method that adjusts the tension according to the linear proportional change of the braking torque. Meanwhile, it has the similar control effect as the ideal closed-loop tension control method, maintaining stability under different reference tensions and disturbances. In addition, the proposed multiple warp beams unwinding tension control method also outperformed the traditional unified tension control method. Our measuring device can be easily installed on the single warp beam for control, resulting in consistent tension between multiple warp beams. Therefore, the proposed methods have a certain control effect and application value.

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Section: Simulation and Results Analysismentioning

confidence: 99%

Dynamic tension control for warp beams on sizing machine based on unwinding length monitoring

Tu,

Guo,

Wang

et al. 2024

Textile Research Journal

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“…Tension is a vital evaluation index when monitoring the running state of the winding system. The tension sensor is one of the essential devices for obtaining the tension change of winding equipment, which plays a vital role in improving the performance and parameters of winding capacity equipment [2]. A tension sensor is widely used to monitor the tension of strip, cloth, strip, and linear materials in the production process [3].…”

Section: Introductionmentioning

confidence: 99%

Temperature Compensation of SAW Winding Tension Sensor Based on PSO-LSSVM Algorithm

Feng,

Liu,

et al. 2023

Micromachines

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In this paper, a SAW winding tension sensor is designed and data fusion technology is used to improve its measurement accuracy. To design a high-measurement precision SAW winding tension sensor, the unbalanced split-electrode interdigital transducers (IDTs) were used to design the input IDTs and output IDTs, and the electrode-overlap envelope was adopted to design the input IDT. To improve the measurement accuracy of the sensor, the particle swarm optimization-least squares support vector machine (PSO-LSSVM) algorithm was used to compensate for the temperature error. After temperature compensation, the sensitivity temperature coefficient αs of the SAW winding tension sensor was decreased by an order of magnitude, thus significantly improving its measurement accuracy. Finally, the error with actually applied tension was calculated, the same in the LSSVM and PSO-LSSVM. By multiple comparisons of the same sample data set overall, as well as the local accuracy of the forecasted results, which is 5.95%, it is easy to confirm that the output error predicted by the PSO-LSSVM model is 0.50%, much smaller relative to the LSSVM’s 1.42%. As a result, a new way for performing data analysis of the SAW winding tension sensor is provided.

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“…To improve the performance of the warp system controller, many scholars have studied and designed many efficient control algorithms, such as advanced proportional-integral-derivative (PID) control, [2][3][4] neural network control, [5][6][7] sliding mode control, [8][9][10] and backstepping control, [11][12][13] to achieve high-precision position control. Fuzzy control has been widely used in current industrial control because of its independence from the control model.…”

mentioning

confidence: 99%

Integrated sliding mode intelligent fractional-order backstepping control of warp tension based on fixed-time extended state observer

Shen

Zhao³

et al. 2023

Textile Research Journal

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The purpose of this study is to develop an integral sliding mode intelligent fractional-order backstepping controller based on a fixed-time extended state observer (ISMIFOBC-ESO) to control warp tension. First, the time-varying mathematical model of the let-off system was studied and converted into the state equation. Due to the parameter uncertainty and healed motion of the let-off system, the total external disturbance of the system is unknown. We designed a fixed-time extended state observer to deal with this situation, the estimated total interference is updated into the control algorithm in real time to reduce the tracking error. The nonlinear integral sliding surface is designed and integrated into the backstepping control to ensure the finite time convergence and stability of the algorithm. The fractional-order theory with more degrees of freedom is introduced further to enhance the control accuracy and robustness of the algorithm, the stability is proved by the Lyapunov theorem and the control law is designed. The simulation experiment verifies the effectiveness of the designed scheme compared with the other two controllers in the case of sinusoidal-like signals and step signals.

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

Cited by 7 publications

References 26 publications

Dynamic tension control for warp beams on sizing machine based on unwinding length monitoring

Dynamic tension control for warp beams on sizing machine based on unwinding length monitoring

Temperature Compensation of SAW Winding Tension Sensor Based on PSO-LSSVM Algorithm

Integrated sliding mode intelligent fractional-order backstepping control of warp tension based on fixed-time extended state observer

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