Access the full text.
Sign up today, get DeepDyve free for 14 days.
(1897)
Traite elementaire de mecanique chimique, fondee sur la thermo dynamique
R. Naghizadeh, B. Vahidi, S. Hosseinian (2012)
Parameter identification of Jiles‐Atherton model using SFLACompel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 31
Geng Wang, Guoqiang Chen, Hong Zhou, F. bai (2017)
Modeling and tracking control for piezoelectric actuator based on a new asymmetric hysteresis modelIEEE/CAA Journal of Automatica Sinica, 4
Yung-Tien Liu, Bo-Jheng Li (2016)
A 3-axis precision positioning device using PZT actuators with low interference motionsPrecision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology, 46
Guangwei Wang, Qingsong Xu (2017)
Design and Precision Position/Force Control of a Piezo-Driven Microinjection SystemIEEE/ASME Transactions on Mechatronics, 22
D. Karaboğa (2005)
AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Geng Wang, Guoqiang Chen (2017)
Identification of piezoelectric hysteresis by a novel Duhem model based neural networkSensors and Actuators A-physical, 264
Geng Wang, Guoqiang Chen, F. bai (2015)
Modeling and identification of asymmetric Bouc–Wen hysteresis for piezoelectric actuator via a novel differential evolution algorithmSensors and Actuators A-physical, 235
Geng Wang, K. Zhou, Yeming Zhang (2018)
Parameter identification of piezoelectric hysteresis model based on improved artificial bee colony algorithmModern Physics Letters B, 32
Jingzheng Ren, A. Manzardo, A. Mazzi, A. Fedele, A. Scipioni (2013)
Emergy Analysis and Sustainability Efficiency Analysis of Different Crop-Based Biodiesel in Life Cycle PerspectiveThe Scientific World Journal, 2013
F. Ikhouane (2018)
A Survey of the Hysteretic Duhem ModelArchives of Computational Methods in Engineering, 25
S. Balochian, Hossein Baloochian (2019)
Social mimic optimization algorithm and engineering applicationsExpert Syst. Appl., 134
V. Rubezic, Luka Lazovic, Ana Jovanovic (2018)
Parameter identification of Jiles–Atherton model using the chaotic optimization methodCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
D. Karaboğa, Celal Öztürk (2011)
A novel clustering approach: Artificial Bee Colony (ABC) algorithmAppl. Soft Comput., 11
Wang Xiang, Mei-qing An (2013)
An efficient and robust artificial bee colony algorithm for numerical optimizationComput. Oper. Res., 40
Chih-Jer Lin, P. Lin (2012)
Tracking control of a biaxial piezo-actuated positioning stage using generalized Duhem modelComput. Math. Appl., 64
Md. Rana, H. Pota, I. Petersen (2018)
A Survey of Methods Used to Control Piezoelectric Tube Scanners in High‐Speed AFM ImagingAsian Journal of Control, 20
Yupei Jian, Deqing Huang, Jiabin Liu, Da Min (2019)
High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of HysteresisIEEE Transactions on Industrial Electronics, 66
Jie Liu, Tian Xia, Wei Jiang (2014)
A Posteriori Error Estimates with Computable Upper Bound for the Nonconforming Rotated Q 1 Finite Element Approximation of the Eigenvalue ProblemsMathematical Problems in Engineering, 2014
Weifeng Gao, San-yang Liu (2012)
A modified artificial bee colony algorithmComput. Oper. Res., 39
Geng Wang, Yanru Zhao, Yeming Zhang, Chunchao Chen (2017)
High precision tracking of a piezoelectric positioner using a discrete-time sliding mode controlMicrosystem Technologies, 23
Geng Wang, C. Rao (2015)
Adaptive control of piezoelectric fast steering mirror for high precision tracking applicationSmart Materials and Structures, 24
Chih-Jer Lin, H. Yau, Chii-Ruey Lin, Chin-Ren Hsu (2013)
Simulation and experimental analysis for hysteresis behavior of a piezoelectric actuated micro stage using modified charge system searchMicrosystem Technologies, 19
R. Dsouza, K. Navin, Theodoros Theodoridis, Priyaranjan Sharma (2018)
Design, fabrication and testing of a 2 DOF compliant flexural microgripperMicrosystem Technologies, 24
Miaolei Zhou, Jingyuan Wang (2013)
Research on Hysteresis of Piezoceramic Actuator Based on the Duhem ModelThe Scientific World Journal, 2013
F. Kang, Junjie Li, Haojin Li (2013)
Artificial bee colony algorithm and pattern search hybridized for global optimizationAppl. Soft Comput., 13
Yong Liu, Ying Feng, Xinkai Chen (2014)
Robust Adaptive Dynamic Surface Control for a Class of Nonlinear Dynamical Systems with Unknown HysteresisAbstract and Applied Analysis, 2014
L. Coelho, V. Mariani, M. Silva, N. Batistela, J. Leite (2013)
Hysteresis parameters estimation using a modified harmony searchCompel-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 32
Chunfeng Wang, Liu Kui, P. Shen (2014)
Hybrid Artificial Bee Colony Algorithm and Particle Swarm Search for Global OptimizationMathematical Problems in Engineering, 2014
L. Jódar, B. Chen-Charpentier, J. Cortés, F. Solis, R. Villanueva (2014)
Analysis and Models in Interdisciplinary MathematicsAbstract and Applied Analysis, 2014
M. Naser, F. Ikhouane (2013)
Characterization of the Hysteresis Duhem Model
The determination of parameters of Duhem model that can describe piezoelectric hysteresis is usually a great challenge. The purpose of this paper is to find a way to identify the parameters of Duhem model by using a modified bee colony algorithm.Design/methodology/approachThe promising bee colony algorithm has great potential to identify hysteresis nonlinearity, but has not yet been used to identify the Duhem-type hysteresis in the literatures. To explore this possibility, the classical bee colony algorithm is modified to enhance its performance regarding both searching capability and convergence speed. In the modification, the current optimal solution is used to guide the search direction, which can balance the local and global searching ability. Moreover, a new searching formula for scout bees is proposed to enhance the convergence ability of the algorithm.FindingsThrough a series of experiments, the modified algorithm can attain the optimal parameters with a 0.61 µm peak valley error and a 0.12 µm root-mean-square error. Compared to the particle swarm optimization and classical bee colony algorithms, the modified bee colony algorithm can reach higher parameter identification accuracy. Based on 50 trials, the robustness of the posed algorithm was also proved.Originality/valueThe well-performed modified bee colony algorithm is a good candidate in parameter identification of Duhem-type hysteresis nonlinear systems. As there is no work studying the parameter identification of Duhem model using a bee colony algorithm in the literatures, this work closed this gap and explored the ability of bee colony algorithm to identify piezoelectric hysteresis with superb accuracy and robustness.
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: May 20, 2020
Keywords: Magnetic hysteresis; Actuators; Multiobjective optimization; Dielectric properties
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.