YI, Jiangang . Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 61, n.2, p. 115-122, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/>. Date accessed: 20 apr. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2014.2046.
Yi, J. (2015). Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control. Strojniški vestnik - Journal of Mechanical Engineering, 61(2), 115-122. doi:http://dx.doi.org/10.5545/sv-jme.2014.2046
@article{sv-jmesv-jme.2014.2046,
author = {Jiangang Yi},
title = {Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {61},
number = {2},
year = {2015},
keywords = {Step Response; HAGC; PID; Artificial Neural Networks},
abstract = {The step response for hydraulic automatic gauge control (HAGC) determines the steel rolling speed and the steel sheet thickness in the process of rolling production. In this paper, the step response test process of HAGC was analysed, and a test approach was proposed for it. Based on that, the transfer function model of the step response test was established and simulated by using Matlab. In order to reduce the settling time and the overshoot, an adaptive proportional-integral-derivative (APID) link was presented in order to compensate for the input signal by using back propagation neural networks (BPNN). The experimental results show that the improved step response test model reaches the process requirements of HAGC, eliminates the jitter of the HAGC system at the start-up phase, and has better stability as well as faster response for steel sheet rolling.},
issn = {0039-2480}, pages = {115-122}, doi = {10.5545/sv-jme.2014.2046},
url = {https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/}
}
Yi, J. 2015 June 61. Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 61:2
%A Yi, Jiangang %D 2015 %T Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control %B 2015 %9 Step Response; HAGC; PID; Artificial Neural Networks %! Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control %K Step Response; HAGC; PID; Artificial Neural Networks %X The step response for hydraulic automatic gauge control (HAGC) determines the steel rolling speed and the steel sheet thickness in the process of rolling production. In this paper, the step response test process of HAGC was analysed, and a test approach was proposed for it. Based on that, the transfer function model of the step response test was established and simulated by using Matlab. In order to reduce the settling time and the overshoot, an adaptive proportional-integral-derivative (APID) link was presented in order to compensate for the input signal by using back propagation neural networks (BPNN). The experimental results show that the improved step response test model reaches the process requirements of HAGC, eliminates the jitter of the HAGC system at the start-up phase, and has better stability as well as faster response for steel sheet rolling. %U https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/ %0 Journal Article %R 10.5545/sv-jme.2014.2046 %& 115 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 61 %N 2 %@ 0039-2480 %8 2018-06-27 %7 2018-06-27
Yi, Jiangang. "Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control." Strojniški vestnik - Journal of Mechanical Engineering [Online], 61.2 (2015): 115-122. Web. 20 Apr. 2024
TY - JOUR AU - Yi, Jiangang PY - 2015 TI - Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2014.2046 KW - Step Response; HAGC; PID; Artificial Neural Networks N2 - The step response for hydraulic automatic gauge control (HAGC) determines the steel rolling speed and the steel sheet thickness in the process of rolling production. In this paper, the step response test process of HAGC was analysed, and a test approach was proposed for it. Based on that, the transfer function model of the step response test was established and simulated by using Matlab. In order to reduce the settling time and the overshoot, an adaptive proportional-integral-derivative (APID) link was presented in order to compensate for the input signal by using back propagation neural networks (BPNN). The experimental results show that the improved step response test model reaches the process requirements of HAGC, eliminates the jitter of the HAGC system at the start-up phase, and has better stability as well as faster response for steel sheet rolling. UR - https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/
@article{{sv-jme}{sv-jme.2014.2046},
author = {Yi, J.},
title = {Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {61},
number = {2},
year = {2015},
doi = {10.5545/sv-jme.2014.2046},
url = {https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/}
}
TY - JOUR AU - Yi, Jiangang PY - 2018/06/27 TI - Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 61, No 2 (2015): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2014.2046 KW - Step Response, HAGC, PID, Artificial Neural Networks N2 - The step response for hydraulic automatic gauge control (HAGC) determines the steel rolling speed and the steel sheet thickness in the process of rolling production. In this paper, the step response test process of HAGC was analysed, and a test approach was proposed for it. Based on that, the transfer function model of the step response test was established and simulated by using Matlab. In order to reduce the settling time and the overshoot, an adaptive proportional-integral-derivative (APID) link was presented in order to compensate for the input signal by using back propagation neural networks (BPNN). The experimental results show that the improved step response test model reaches the process requirements of HAGC, eliminates the jitter of the HAGC system at the start-up phase, and has better stability as well as faster response for steel sheet rolling. UR - https://www.sv-jme.eu/sl/article/modelling-and-analysis-of-step-response-test-for-hydraulic-automatic-gauge-control/
Yi, Jiangang"Modelling and Analysis of Step Response Test for Hydraulic Automatic Gauge Control" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 61 Number 2 (27 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 61(2015)2, 115-122
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The step response for hydraulic automatic gauge control (HAGC) determines the steel rolling speed and the steel sheet thickness in the process of rolling production. In this paper, the step response test process of HAGC was analysed, and a test approach was proposed for it. Based on that, the transfer function model of the step response test was established and simulated by using Matlab. In order to reduce the settling time and the overshoot, an adaptive proportional-integral-derivative (APID) link was presented in order to compensate for the input signal by using back propagation neural networks (BPNN). The experimental results show that the improved step response test model reaches the process requirements of HAGC, eliminates the jitter of the HAGC system at the start-up phase, and has better stability as well as faster response for steel sheet rolling.