Improved differential evolutionary algorithm for nonlinear identification of a novel vibration‐assisted swing cutting system

Summary Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting but also alleviates the problem of EVC residual height. However, system identification is key if you want to achieve precise control. In ord...

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Vydané v:	International journal of adaptive control and signal processing Ročník 33; číslo 7; s. 1066 - 1078
Hlavní autori:	Lu, Mingming, Wang, Hao, Zhao, Dongpo, Lin, Jieqiong, Gu, Yan, Yi, Allen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley Subscription Services, Inc 01.07.2019
Predmet:	Cutting parameters Evolutionary algorithms Genetic algorithms Hammerstein‐Wiener model Identification improved differential evolutionary algorithm Mathematical models Model accuracy Optimization Parameter identification Precision machining Solution strengthening System identification test functions Vibration vibration‐assisted swing cutting
ISSN:	0890-6327, 1099-1115
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Abstract	Summary Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting but also alleviates the problem of EVC residual height. However, system identification is key if you want to achieve precise control. In order to solve this problem, a new improved differential evolutionary (IDE) algorithm is proposed to identify and optimize the Hammerstein‐Wiener model parameter in VASC system. IDE algorithm is applied to transform the identification problem of the model into the optimization problem in the parameter space, and the optimal solution of the parameter of the model in the parameter space is obtained. Meanwhile, the IDE algorithm and the conventional five differential evolutionary algorithms perform performance comparison tests on six different test functions. The test results show that the IDE algorithm is strengthening the global search capability, accelerate the convergence rate to the global optimal solution, and indicate that the IDE algorithm can be effectively applied to the parameter optimization of Hammerstein‐winner model. Based on the input and output data collected from the experiment, the accuracy of the identification model can be up to 98%, which prove the superiority of the proposed IDE algorithm for system identification.
AbstractList	Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting but also alleviates the problem of EVC residual height. However, system identification is key if you want to achieve precise control. In order to solve this problem, a new improved differential evolutionary (IDE) algorithm is proposed to identify and optimize the Hammerstein‐Wiener model parameter in VASC system. IDE algorithm is applied to transform the identification problem of the model into the optimization problem in the parameter space, and the optimal solution of the parameter of the model in the parameter space is obtained. Meanwhile, the IDE algorithm and the conventional five differential evolutionary algorithms perform performance comparison tests on six different test functions. The test results show that the IDE algorithm is strengthening the global search capability, accelerate the convergence rate to the global optimal solution, and indicate that the IDE algorithm can be effectively applied to the parameter optimization of Hammerstein‐winner model. Based on the input and output data collected from the experiment, the accuracy of the identification model can be up to 98%, which prove the superiority of the proposed IDE algorithm for system identification. Summary Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting but also alleviates the problem of EVC residual height. However, system identification is key if you want to achieve precise control. In order to solve this problem, a new improved differential evolutionary (IDE) algorithm is proposed to identify and optimize the Hammerstein‐Wiener model parameter in VASC system. IDE algorithm is applied to transform the identification problem of the model into the optimization problem in the parameter space, and the optimal solution of the parameter of the model in the parameter space is obtained. Meanwhile, the IDE algorithm and the conventional five differential evolutionary algorithms perform performance comparison tests on six different test functions. The test results show that the IDE algorithm is strengthening the global search capability, accelerate the convergence rate to the global optimal solution, and indicate that the IDE algorithm can be effectively applied to the parameter optimization of Hammerstein‐winner model. Based on the input and output data collected from the experiment, the accuracy of the identification model can be up to 98%, which prove the superiority of the proposed IDE algorithm for system identification.
Author	Gu, Yan Zhao, Dongpo Lin, Jieqiong Lu, Mingming Wang, Hao Yi, Allen
Author_xml	– sequence: 1 givenname: Mingming surname: Lu fullname: Lu, Mingming organization: Changchun University of Technology – sequence: 2 givenname: Hao surname: Wang fullname: Wang, Hao organization: Changchun University of Technology – sequence: 3 givenname: Dongpo surname: Zhao fullname: Zhao, Dongpo email: dpzhao1@163.com organization: Changchun University of Technology – sequence: 4 givenname: Jieqiong orcidid: 0000-0003-4394-360X surname: Lin fullname: Lin, Jieqiong email: linjieqiong@ccut.edu.cn organization: Changchun University of Technology – sequence: 5 givenname: Yan surname: Gu fullname: Gu, Yan organization: Changchun University of Technology – sequence: 6 givenname: Allen surname: Yi fullname: Yi, Allen organization: Ohio State University
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Snippet	Summary Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting... Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC not only inherits the characteristics of EVC intermittent cutting but...
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SubjectTerms	Cutting parameters Evolutionary algorithms Genetic algorithms Hammerstein‐Wiener model Identification improved differential evolutionary algorithm Mathematical models Model accuracy Optimization Parameter identification Precision machining Solution strengthening System identification test functions Vibration vibration‐assisted swing cutting
Title	Improved differential evolutionary algorithm for nonlinear identification of a novel vibration‐assisted swing cutting system
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