Kalman-Filter-Based Tension Control Design for Industrial Roll-to-Roll System

Hwang, Hyeongjin; Lee, Jeh-Won; Eum, Sangjune; Nam, Kwangwoo

doi:10.3390/a12040086

Cited by 12 publications

(11 citation statements)

References 25 publications

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“…Among them, the transfer functions of main tension control loop, speed disturbance and tension disturbance to tension output are formulas ( 9), ( 10) and (11), respectively.…”

Section: Linearization Of Tension System Modelmentioning

confidence: 99%

“…Mi [10] proposed a method of Robust Integral of Signum of Error (RISE) controller for winding tension system based on adaptive neural network. Hwang [11] used disturbance observer (DOB) with proportional integral (PI) controller to designate controlled object and suppress external disturbance for R2R mechanical tension control. Zhang [12] combined Kalman filter with PID controller to realize high precision tension control.…”

Section: Introductionmentioning

confidence: 99%

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Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Ding¹,

Liu²,

Zhang³

et al. 2023

jist

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It is difficult to precisely control the substrate tension due to the tension system of roll-to-roll coating machine with strong coupling and time-varying parameters. Therefore, a feedforward improved proportional integral derivative (PID) parameters self-tuning decoupling controller of tension system is proposed in this paper. According to the components and working principle of the coating machine, the nonlinear coupling mechanism model of the global tension system is established, and the model is linearized by using the Taylor series. Based on the linear model, a feedforward improved PID parameters self-tuning decoupling controller is designed for tension system. Through the feedforward control compensates the modeled tension and speed interference, a tracking differentiator (TD) is used to improve the performance of PID, and the online self-tuning of PID parameters can be realized by an Radial Basis Function (RBF) identification network. The simulation results show that the proposed decoupling control strategy of tension system can well suppress the coupling interference between the units, and realize the real-time tuning of PID parameters.

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“…Among them, the transfer functions of main tension control loop, speed disturbance and tension disturbance to tension output are formulas ( 9), ( 10) and (11), respectively.…”

Section: Linearization Of Tension System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Ding¹,

Liu²,

Zhang³

et al. 2023

jist

View full text Add to dashboard Cite

show abstract

“…Xiaozhou Lü et al [8,9] used evenly distributed fingers to design input and output IDTs, but this kind of design method can cause the input IDT to produce a second-order effect [10][11][12], which will increase the sidelobes of the SAW sensor, thus seriously affecting the measuring accuracy of it. When the input transducer excites the SAW signal, it also excites the BAW signal [13], and the BAW signal will reflect on the substrate surface and then reach the output transducer. Due to the influence of BAW on the SAW signal received by the output transducer, the device will eventually have poor sidelobe rejection performance.…”

Section: Introductionmentioning

confidence: 99%

Grooving and Absorption on Substrates to Reduce the Bulk Acoustic Wave for Surface Acoustic Wave Micro-Force Sensors

Feng,

Yu,

Liu

et al. 2024

Micromachines

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Improving measurement accuracy is the core issue with surface acoustic wave (SAW) micro-force sensors. An electrode transducer can stimulate not only the SAW but also the bulk acoustic wave (BAW). A portion of the BAW can be picked up by the receiving transducer, leading to an unwanted or spurious signal. This can harm the device’s frequency response characteristics, thereby potentially reducing the precision of the micro-force sensor’s measurements. This paper examines the influence of anisotropy on wave propagation, and it also performs a phase-matching analysis between interdigital transducers (IDTs) and bulk waves. Two solutions are shown to reduce the influence of BAW for SAW micro sensors, which are arranged with acoustic absorbers at the ends of the substrate and in grooving in the piezoelectric substrate. Three different types of sensors were manufactured, and the test results showed that the sidelobes of the SAW micro-force sensor could be effectively inhibited (3.32 dB), thereby enhancing the sensitivity and performance of sensor detection. The SAW micro-force sensor manufactured using the new process was tested and the following results were obtained: the center frequency was 59.83 MHz, the fractional bandwidth was 1.33%, the range was 0–1000 mN, the linearity was 1.02%, the hysteresis was 0.59%, the repeatability was 1.11%, and the accuracy was 1.34%.

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“…However, controlling tension with only the velocity of control generates a new problem due to the vibration [ 6 ] of the motor, which has been solved by adding a vibration controller with the velocity controller. In several studies, a tension control approach was adopted with the help of a load sensor, and in order to avoid the noise and disturbance generated by the sensor and system dynamics, the Kalman filter [ 7 ] and a disturbance observer were used.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter

Neaz

Lee

Jin

et al. 2023

Sensors

Self Cite

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The production of textiles has undergone a considerable transformation, progressing from its primitive origins in hand-weaving to the implementation of contemporary automated systems. Weaving yarn into fabric is a crucial process in the textile industry that requires meticulous attention to output quality products, particularly in the tension control section. The efficiency of the tension controller in relation to the yarn tension significantly affects the quality of the resulting fabric, as proper tension control leads to strong, uniform, and aesthetically pleasing fabric, while poor tension control can cause defects and yarn breakage, leading to production downtime and increased costs. Maintaining the desired yarn tension during textile production is crucial, although it poses several problems, such as the continuous diameter change of the unwinder and rewinder sections leading to system change. Another problem faced by the industrial operation is maintaining proper tension on the yarn while changing the roll-to-roll operation velocity. In this paper, an optimized method for controlling yarn tension through the cascade control of tension and position, incorporating feedback controllers, feedforward, and disturbance observers, has been proposed to make the system more robust and suitable for industrial use. In addition, an optimum signal processor has been designed to obtain sensor data with reduced noise and minimal phase difference.

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Kalman-Filter-Based Tension Control Design for Industrial Roll-to-Roll System

Cited by 12 publications

References 25 publications

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Grooving and Absorption on Substrates to Reduce the Bulk Acoustic Wave for Surface Acoustic Wave Micro-Force Sensors

Optimizing Yarn Tension in Textile Production with Tension–Position Cascade Control Method Using Kalman Filter

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