Modelling and control of a Magneto-Rheological elastomer for impact reduction

Mohd Sabirin Rahmat; Khisbullah Hudha; Zulkiffli Abd Kadir; Nur Rashid Mat Nuri; Noor Hafizah Amer; Shohaimi Abdullah

doi:10.15282/jmes.13.3.2019.04.0430

Authors

Mohd Sabirin Rahmat Department of Mechanical Engineering, Faculty of Engineering, National Defence University of Malaysia, Kem Sg. Besi, 57000 Kuala Lumpur, Malaysia
Khisbullah Hudha Department of Mechanical Engineering, Faculty of Engineering, National Defence University of Malaysia, Kem Sg. Besi, 57000 Kuala Lumpur, Malaysia
Zulkiffli Abd Kadir Department of Mechanical Engineering, Faculty of Engineering, National Defence University of Malaysia, Kem Sg. Besi, 57000 Kuala Lumpur, Malaysia
Nur Rashid Mat Nuri Department of Mechanical Engineering Technology, Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Melaka, Malaysia
Noor Hafizah Amer Department of Mechanical Engineering, Faculty of Engineering, National Defence University of Malaysia, Kem Sg. Besi, 57000 Kuala Lumpur, Malaysia
Shohaimi Abdullah Vice Chancellor Management Office, Widad University College, BIM Point Bandar Indera Mahkota, 25200 Kuantan, Pahang Darul Makmur

DOI:

https://doi.org/10.15282/jmes.13.3.2019.04.0430

Keywords:

Hybrid control, skyhook control, active force control, fast response control strategy, magneto-rheological elastomer isolator device control strategy, impact reduction control

Abstract

This article presents the simulation analysis on the effectiveness of impact reduction control based magneto-rheological elastomer isolator device (MREID). The MREID is one of the impact isolator devices that produce controllable stiffness by controlling the input current supply to the device coil. In order to control the input current for MREID, a hybrid control structure combining the skyhook and active force control strategy (HYSAFC) is proposed. Firstly, the characteristics of MREID in squeeze mode are investigated systematically in order to establish the relationship between the supply input current to the subsequent force and impact energy within the MREID. The proposed control strategy is used for force tracking control in determining the amount of input current to be applied to the MREID. The desired input current is determined by a current generator that is developed using inverse ANFIS technique which will regulate the current amount based on the desired force and impact energy. The effectiveness of the actively controlled MREID is evaluated using MATLAB simulations by comparing the performance of the MREID controlled by skyhook control against a passive damper. It is shows that the proposed controller recorded better response compared to skyhook controller, thus improving the stability and the effectiveness in controlling the MRE isolator device.

References

Li Y, Li J, Tian T, Li W. Corrigendum: A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control. Smart Materials and Structures. 2014;23:1-20.

Li Y, Li J, Li W, Du H. A state-of-the-art review on magnetorheological elastomer devices. Smart Materials and Structures. 2014;23:1-24.

Fu J, Yu M, Dong XM, Zhu LX. Magnetorheological elastomer and its application on impact buffer. Journal of Physics: Conference Series. 2013;412:1-10.

Fu J, Li P, Wang Y, Liao G, Yu M. Model-free fuzzy control of a magnetorheological elastomer vibration isolation system: Analysis and experimental evaluation. Smart Materials and Structures. 2016;25:1-13.

Behrooz M, Wang X, Gordaninejad F. Performance of a new magnetorheological elastomer isolation system. Smart Materials and Structures. 2014;23:1–8.

Ubaidillah, Imaduddin F, Li Y, Mazlan SA, Sutrisno J, Koga T, Yahya I, Choi SB. A new class magnetorheological elastomers based on waste tire rubber and properties characterization. Smart Materials and Structures. 2016;25:1–15.

Ubaidillah, Mazlan SA, Sutrisno J, Yahya I, Harjana, Imaduddin F. Physicochemical properties and stress-strain compression behaviors of a ground tire rubber based magnetorheological elastomers. Scientia Iranica C. 2016;23:1144–59.

Ubaidillah, Choi HJ, Mazlan SA, Imaduddin F, Harjana. Fabrication and viscoelastic characteristics of waste tire rubber based magnetorheological elastomer. Smart Materials and Structures. 2016;25:1-14.

Choi SB, Li W, Yu M, Du H, Fu J, Do PX. State of the art of control schemes for smart systems featuring magneto-rheological materials. Smart Materials and Structures. 2016;25:1-67.

Li Y, Li J, Li W, Samali B. Development and characterization of a magnetorheological elastomer based adaptive seismic isolator. Smart Materials and Structures. 2013;22:1-12.

Carlson JD, Jolly MR. MR fluid, foam and elastomer devices. Mechatronics. 2000;10:555–69.

Chen L, Gong XL. Damping of magnetorheological elastomers. Journal of Central South University of Technology. 2008;15:271–4.

Li WH, Zhang XZ. A study of the magnetorheological effect of bimodal particle based magnetorheological elastomers. Smart Materials and Structures. 2010;19:1–9.

Nguyen XB, Komatsuzaki T, Iwata Y. Fuzzy Semiactive Vibration Control of Structures Using Magnetorheological Elastomer. Shock and Vibration. 2017;2017:1–15.

Fu J, Li P, Wang Y, Liao G, Yu M. Model-free fuzzy control of a magnetorheological elastomer vibration isolation system: Analysis and experimental evaluation. Smart Materials and Structures. 2016;25:1–13.

Ni YQ, Ying ZG, Chen ZH. Magneto-rheological elastomer (MRE) based composite structures for micro-vibration control. Earthquake Engineering and Engineering Vibration. 2010;9:345–56.

Zhu W, Rui XT. Semiactive vibration control using a magnetorheological damper and a magnetorheological elastomer based on the bouc-wen model. Shock and Vibration. 2014;2014:1-10.

Gu X, Yu Y, Li J, Li Y. Semi-active control of magnetorheological elastomer base isolation system utilising learning-based inverse model. Journal of Sound and Vibration. 2017;406:346–62.

Behrooz M, Wang X, Gordaninejad F. Performance of a new magnetorheological elastomer isolation system. Smart Materials and Structures. 2014;23:1-8.

Opie S, Yim W. Design and control of a real-time variable modulus vibration isolator. Journal of Intelligent Material Systems and Structures. 2011;22:113–25.

Opie S, Yim W. Design and control of a real-time variable modulus vibration isolator. IEEE/ASME International Conference on Advanced Intelligent Mechatronics. 2009:380–5.

Zheng J, Li Z, Koo J-H, Wang J. Analysis and compensation methods for time delays in an impact buffer system based on magnetorheological dampers. Journal of Intelligent Material Systems and Structures. 2015;26:690–700.

Yang J, Du H, Li W, Li Y, Li J, Sun S, et al. Experimental study and modeling of a novel magnetorheological elastomer isolator. Smart Materials and Structures. 2013;22:1–14.

Rahmat MS, Hudha K, Kadir ZA, Nuri NRM, Abdullah NHAS. Characterization and Modelling of a Magneto-Rheological Elastomer Isolator Device under Impact Loadings using Interpolated Multiple Adaptive Neuro Fuzzy Inference System Structure. International Journal of Material and Structural Integrity. 2018:In press.

Amer NH, Ramli R, Mahadi WNL, Abidin MAZ. A review on control strategies for passenger car intelligent suspension system. InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011:404–9.

Hudha K, Jamaluddin H, Samin PM, Rahman RA. Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper. International Journal of Vehicle Autonomous Systems. 2005;3:230-52.

Hewit JR, Burdess JS. Fast dynamic decoupled control for robotics, using active force control. Mechanism and Machine Theory. 1981;16:535–42.

Mailah M, Mun H, Kazi S, Jahanabadi H. Experimental implementation of active force control and iterative learning technique to a two-link arm driven by penumatic artificial muscles. Recent Researches in Computational Intelligence and Information Security. 2011:216–21.

Mailah M, Hooi HM, Kazi S, Jahanabadi H. Practical active force control with iterative learning scheme applied to a pneumatic artificial muscle actuated robotic arm. International Journal of Mechanics. 2012;6:88–96.

Mailah M, Hewit JR, Meeran S. Active Force Control Applied to a Rigid Robot Arm. Jurnal Mekanikal. 1996;2:52–68.

Priyandoko G, Mailah M, Jamaluddin H. Vehicle active suspension system using skyhook adaptive neuro active force control. Mechanical Systems and Signal Processing. 2009;23:855–68.

Priyandoko G, Mailah M, Jamaluddin H. Practical Implementation of Skyhook and Adaptive Active Force Control To an Automotive Suspension. 2nd Regional Conference on Vehicle Engineering & Technology. 2008:1-8.

Mailah M, Priyandoko G. Mechatronic implementation of an intelligent active force. International Review of Mechanical Engineering. 2010;4:899–907.