Vibration control in semi-active suspension of the experimental off-road vehicle using information about suspension deflection

• Autorzy: Kasprzyk J. , Krauze P. , Budzan S. , Rzepecki J.

Identyfikatory

DOI

10.1515/acsc-2017-0016

• Języki publikacji: EN

Abstrakty

EN

The efficiency of vibration control in an automotive semi-active suspension system depends on the quality of information from sensors installed in the vehicle, including information about deflection of the suspension system. The control algorithm for vibration attenuation of the body takes into account its velocity as well as the relative velocity of the suspension. In this paper it is proposed to use the Linear Variable Differential Transformer (LVDT) unit to measure the suspension deflection and then to estimate its relative velocity. This approach is compared with a typical solution implemented in such applications, where the relative velocity is calculated by processing signals acquired from accelerometers placed on the body and on the chassis. The experiments performed for an experimental All-Terrain Vehicle (ATV) confirm that using LVDT units allows for improving ride comfort by better vibration attenuation of the body.

Słowa kluczowe

EN

vibration control; magnetorheological damper; linear variable differential transformer; skyhook

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2017
• Tom: Vol. 27, no. 2
• Strony: 251--261
• Opis fizyczny: Bibliogr. 12 poz., rys., schem., wykr., wzory

Twórcy

autor

Kasprzyk J.

• Institute of Automatic Control, Silesian University of Technology, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Krauze P.

• Institute of Automatic Control, Silesian University of Technology, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Budzan S.

• Institute of Automatic Control, Silesian University of Technology, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Rzepecki J.

• Institute of Automatic Control, Silesian University of Technology, Akademicka Str. 16, 44-100 Gliwice, Poland

Bibliografia

• [1] S. Budzan and J. Kasprzyk: Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications. Optics and Lasers in Engineering, 77 (2016), 230-240.
• [2] A. Chamseddine and H. Noura: Control and Sensor Fault Tolerance of Vehicle Active Suspension. IEEE Trans. on Control Systems Technology, 16 (2008), 416-433.
• [3] D. Karnopp, M. J. Crosby and R. A. Harwood: Vibration control using semiactive force generators. J. of Engineering for Industry, 96 (1974), 619-626.
• [4] J. Kasprzyk, J. Wyrwał and P. Krauze: Automotive MR damper modeling for semi-active vibration control. Proc. of the IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Besancon, France, (2014), 500-505.
• [5] J. Kasprzyk, S. Budzan, J. Rzepecki, R. Marek and P. Krauze: Vibration control in semi-active suspension system of the experimental off-road vehicle using information about road roughness. Proc. of the 20th KKAPD, Zakopane, Poland, (2016).
• [6] P. Krauze and J. Kasprzyk: Comparison of linear and nonlinear feedback control for a half-car model with MR dampers. Proc. of the 21 IEEE Int. Conf. on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, (2016), 965-970.
• [7] P. Krauze and J. Kasprzyk: Mixed skyhook and FxLMS control of a half-car model with magnetorheological dampers. Advances in Acoustics and Vibration, (2016), Article ID 7428616,
• [8] B. Sapinski: Magnetorheological Dampers in Vibration Control. AGH University of Science and Technology Press, 2006.
• [9] S.M. Savaresi, C. Poussot-Vassal, C. Spelta, O. Sename and L. Dugard: Semi-Active Suspension Control Design for Vehicles. Elsevier. 2010.
• [10] Z. Yankun, C. Hong and N. Weyrich: A single camera based rear obstacle detection system. IEEE Intelligent Vehicles Symp., (2011), 485-490.
• [11] G. Z. Yao, F. F. Yap, G. Chen, W. H. Li and S. H. Yeo: MR damper and its application for semi-active control of vehicle suspension system. Mechatronics, 12 (2002), 963-973.
• [12] S-J. Yu, S. R. Sukumar, A. F. Koschan, D. L. Page and M. A. Abidi: 3D reconstruction of road surfaces using an integrated multi-sensory approach. Optics and Lasers in Engineering, 45 (2007), 808-818.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).