A new phenomenological-based rate-dependent hysteresis operator for hysteresis characterization / Mohd Hanif Mohd Ramli and Mohd Azuwan Mat Dzahir

Mohd Ramli, Mohd Hanif and Mat Dzahir, Mohd Azuwan (2018) A new phenomenological-based rate-dependent hysteresis operator for hysteresis characterization / Mohd Hanif Mohd Ramli and Mohd Azuwan Mat Dzahir. Journal of Mechanical Engineering (JMechE), SI 5 (5). pp. 142-153. ISSN 18235514

Abstract

Hysteresis is a fundamental problem in most smart material based actuators. This phenomenon limits the performance of systems that driven by these actuators. Therefore, there is a need for a comprehensive and robust approach to model and control in order to eliminate the hysteresis effects. This paper presents an alternative modification to the original Bouc-Wen (BW) model so as to improve the characterization of smart actuators those are affected by hysteresis nonlinearity. For this purpose, an extended BW (EBW) model is proposed and formulated in the discrete-time domain. Due to nonlinear nature of the proposed model, an extended particle swarm optimization technique (EPSO) is used to properly validate EBW model. Through the simulation study, it is observed and confirmed that proposed model is capable of describing rate-dependent input-output relations, which is an important feature in the modeling of hysteresis phenomenon.

Metadata

Item Type: Article
Creators:
CreatorsEmail / ID. Num
Mohd Ramli, Mohd Hanifhaniframli@salam.uitm.edu.my
Mat Dzahir, Mohd AzuwanUNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > Mechanical and electrical engineering combined
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
Journal: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 18235514
Volume: SI 5
Number: 5
Page Range: pp. 142-153
Item ID: 40467
Uncontrolled Keywords: Modeling, Hysteresis, Smart Actuator, Particle Swarm Optimization, Bouc-Wen model.
URI: http://ir.uitm.edu.my/id/eprint/40467

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