Article
Engineering, Electrical & Electronic
Yuansheng Chen, Yuhang Chen, Lei Zheng, Lichen Tong, Wei Chen, Hongli Ji
Summary: Piezoelectric bimorph actuator has small size, fast response speed and high displacement accuracy. However, its inherent hysteresis nonlinearity significantly affects the control accuracy and stability of the system. In this study, a hybrid model approach combining neural network and improved Prandtl-Ishlinskii model was developed to describe the asymmetric hysteresis of the actuator. An adaptive control method based on neural network training algorithm was derived to update the weight parameters in real time. Experimental results showed that the proposed hybrid model and adaptive control approach effectively compensated the hysteresis of the piezoelectric bimorph actuator.
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS
(2023)
Article
Computer Science, Artificial Intelligence
Linlin Nie, Miaolei Zhou, Wenjing Cao, Xiaoliang Huang
Summary: This study proposes an adaptive fuzzy dynamic surface output feedback control method for a class of uncertain nonlinear systems subject to unknown input hysteresis. By using a Prandtl-Ishlinskii model to describe the unknown input hysteresis, the controller design becomes feasible. A nonlinear extended state observer is designed to estimate unmeasurable states and disturbances, while a novel nonlinear function replaces the fal() function for increased convergence speed. The proposed method is demonstrated to provide satisfactory tracking performance through experiments.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Chemistry, Analytical
Wen Wang, Fuming Han, Zhanfeng Chen, Ruijin Wang, Chuanyong Wang, Keqing Lu, Jiahui Wang, Bingfeng Ju
Summary: A new Dynamic Delay Prandtl-Ishlinskii (DDPI) model is proposed to accurately describe asymmetrical and dynamic hysteresis in piezoelectric actuators, and a compensator based on the Inverse Dynamic Delay Prandtl-Ishlinskii (IDDPI) model is designed to effectively suppress hysteresis. Experimental results verify the effectiveness of the models and compensator, indicating potential for extending the application of piezoelectric actuators.
Article
Instruments & Instrumentation
Xiaolu Huang, Chi Zhang, Rong Li, Jinhua Chen, Si-Lu Chen, Guilin Yang
Summary: The moving magnet voice coil actuator (MMVCA) is a promising choice for long stroke nanopositioning stages due to its low moving mass advantage. However, the observed hysteresis in MMVCA limits further improvement in tracking performance. This paper analyzes the cause and influence of hysteresis in MMVCA and proposes a modified model to describe the hysteresis. Experimental results validate the feasibility of the proposed model and demonstrate reduced tracking errors through hysteresis compensation.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2022)
Article
Engineering, Electrical & Electronic
Ruijin Wang, Wen Wang, Zhanfeng Chen, Zhiqian Sang, Chuanyong Wang, Keqing Lu, Fuming Han, Bingfeng Ju
Summary: This paper proposes a novel and accurate model based on the Lissajous Curve to describe and compensate the dynamic hysteresis of a piezoelectric actuator. The performance of the actuator is tested and the experimental results are used to quantify the law of dynamic hysteresis. The proposed LC-PI model accurately describes different types of dynamic hysteresis loops and effectively suppresses the dynamic hysteresis.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Engineering, Mechanical
Mohammad Al Janaideh, Micky Rakotondrabe
Summary: The study proposed a feedforward-feedback combined architecture to control a piezoelectric motion system with rate-dependent hysteresis nonlinearities. First, a feedforward control based on the inverse RDPI model was presented, followed by extension with feedback control to address uncertainties. Experimental results confirmed the effectiveness of the combined control approach.
NONLINEAR DYNAMICS
(2021)
Article
Chemistry, Analytical
Wen Wang, Jiahui Wang, Ruijin Wang, Zhanfeng Chen, Fuming Han, Keqing Lu, Chuanyong Wang, Zhenlong Xu, Bingfeng Ju
Summary: This study focused on the dynamic hysteresis issue of piezoelectric actuators, proposing a force-voltage-coupled FVPI model and designing a compensator based on this model. Experimental results showed that the compensator effectively improved the positioning accuracy of piezoelectric actuators.
Article
Instruments & Instrumentation
Marc Savoie, Jinjun Shan
Summary: In this paper, a temperature-dependent asymmetric Prandtl-Ishlinskii (TAPI) model is developed to capture the changes in hysteresis curves of a piezoelectric actuator (PEA) with respect to temperature. The proposed model incorporates nonlinearities, asymmetry, and temperature dependence, and simplifies model inversion and parameter determination. Experimental verification and compensator design demonstrate the effectiveness of the TAPI model in linearizing the PEA output throughout the temperature range.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Engineering, Mechanical
Saeid Shakiba, Mouloud Ourak, Emmanuel Vander Poorten, Moosa Ayati, Aghil Yousefi-Koma
Summary: A feedforward controller based on a rate-dependent model was proposed to compensate for the hysteresis in pneumatic artificial muscles. The parameters of the controller were estimated using a genetic algorithm combined with an interior-point method. The approach was shown to effectively overcome the hysteresis behavior and can be applied to other actuators with complex hysteresis.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Hongge Ru, Jian Huang, Wenbin Chen, Caihua Xiong
Summary: Soft-bending pneumatic actuators have great potential in various applications due to their flexibility. However, motion control is challenging due to the complicated hysteresis of the elastic material and pneumatic system. This study proposed a modified hysteresis model and an evolutionary algorithm to improve parameter identification efficiency, and experiments verified the effectiveness of the model and method.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Mechanical
Sanxiu Wang
Summary: This study explores a dynamic surface control method using a disturbance observer for a type of uncertain nonlinear system with unknown hysteresis. The proposed method effectively solves the issues in traditional control schemes and achieves accurate tracking of the system.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Instruments & Instrumentation
Kai Tian, Zhigang Liu, Tao Jing, Yu Zhu
Summary: This paper proposes a rate-dependent nonlinear active suppression method for an optical resonator cavity (ORC) system based on the Hammerstein model. A high-precision rate-dependent Hammerstein model of the ORC system is established using a back propagation neural network and system identification algorithm. The optimized voltage curve effectively suppresses vibration at the inflection point in the experimental results.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2021)
Article
Mathematics, Applied
Mohammad Al Janaideh, Pavel Krejci, Giselle Antunes Monteiro
Summary: In recent years, there has been an increased interest in rate-dependent hysteresis models for characterizing complex time-dependent nonlinearities in smart actuators. A natural approach is to add rate-dependence to the Prandtl-Ishlinskii model by considering it as a linear combination of play operators with time-dependent thresholds. This study proposes an extension of rate-dependent Prandtl-Ishlinskii operators to include a continuum of play operators with time-dependent thresholds. The existence of an analytical inversion formula is proven, and its applicability in studying error bounds for inverse compensation is demonstrated.
APPLICATIONS OF MATHEMATICS
(2023)
Article
Automation & Control Systems
Huxin Gao, Ruoyi Hao, Xiaoxiao Yang, Changsheng Li, Zedong Zhang, Xiuli Zuo, Yanqing Li, Hongliang Ren
Summary: This study proposes a new method to model and compensate for the dynamic hysteresis in flexible endoscopic robots with stiffness-tunable mechanism. By introducing a modified generalized Prandtl-Ishlinski model and a specific compensation strategy, the problem of stiffness-influenced hysteresis in current stiffness-tunable miniature manipulators is successfully addressed.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Materials Science, Multidisciplinary
HouPin Yoong, ChunYi Su, KiamBeng Yeo
Summary: This paper introduces a stress-dependent phenomenological model of NiTi by modifying the existing generalized Prandtl-Ishlinskii (GPI) model, which can satisfactorily predict the output strain of a NiTi #6 wire under temperature and stress variation. The new model plays an important role in exploring the superelastic behavior of NiTi that strongly depends on the applied stress.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2021)
Article
Automation & Control Systems
Micky Rakotondrabe, Ioan Alexandru Ivan, Sofiane Khadraoui, Philippe Lutz, Nicolas Chaillet
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2015)
Article
Automation & Control Systems
Rosario Toscano, Ioan Alexandru Ivan, Zhebin Xue
IEEE TRANSACTIONS ON CYBERNETICS
(2015)
Article
Engineering, Electrical & Electronic
Dragos Adrian Ciubotariu, Ioan Alexandru Ivan, Cedric Clevy, Philippe Lutz
SENSORS AND ACTUATORS A-PHYSICAL
(2016)
Article
Automation & Control Systems
Ioan Alexandru Ivan, Omar Aljanaideh, Joel Agnus, Philippe Lutz, Micky Rakotondrabe
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2017)
Article
Automation & Control Systems
Ioan Alexandru Ivan, Gilgueng Hwang, Joel Agnus, Nicolas Chaillet, Stephane Regnier
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2013)
Article
Automation & Control Systems
Rosario Toscano, Ioan Alexandru Ivan
Article
Chemistry, Multidisciplinary
Simona Noveanu, Ioan Alexandru Ivan, Dan Cristian Noveanu, Calin Rusu, Daniel Lates
APPLIED SCIENCES-BASEL
(2020)
Article
Robotics
C. Petit, M. Kechiche, I. A. Ivan, R. Toscano, V. Bolcato, E. Planus, F. Marchi
JOURNAL OF MICRO-BIO ROBOTICS
(2020)
Article
Multidisciplinary Sciences
Florin Dragomir, Ioan Alexandru Ivan, Ion Valentin Gurgu, Nicolae Gabriel Radulescu, Ioan Alin Bucurica, Ioana-Daniela Dulama
JOURNAL OF SCIENCE AND ARTS
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Ion Valentin Gurgu, Marius Giorgian Ionita, Ion Vasile, Dinu Coltuc, Ioan Alexandru Ivan, Horia Andrei
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE - ECAI 2017
(2017)
Article
Automation & Control Systems
Ion Lungu, Ioan Alexandru Ivan, Micky Rakotondrabe, Simona Noveanu, Veronica Stefan, Dan Mandru
CONTROL ENGINEERING AND APPLIED INFORMATICS
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Dragos Adrian Ciubotariu, Cedric Clevy, Ioan Alexandru Ivan, Philippe Lutz
2015 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM)
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Dragos Adrian Ciubotariu, Cedric Cleevy, Philippe Lutz, Ioan Alexandru Ivan
PROCEEDINGS OF 2014 INTERNATIONAL SYMPOSIUM ON OPTOMECHATRONIC TECHNOLOGIES (ISOT)
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
Ioan Alexandru Ivan, Dragos Adrian Ciubotariu, Cedric Clevy, Philippe Lutz, Nicolas Chaillet
2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING
(2013)
Proceedings Paper
Engineering, Electrical & Electronic
Gilgueng Hwang, Hugo Salmon, Ioan Alexandru Ivan, Joel Agnus, Nicolas Chaillet, Stephane Regnier, Anne-Marie Haghiri-Gosnet
26TH IEEE INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS (MEMS 2013)
(2013)