The usage of a laser height sensors for estimating road unevenness profile
Grzegorz Ślaski 1  
Vytenis Surblys 2  
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Poznan University of Technology
Wileński Uniwersytet Techniczny im. Giedymina, Wydział Inżynierii Transportu, Zakład Transportu Samochodowego
Politechnika Poznańska, Wydział Maszyn Roboczych i Transportu
Publish date: 2018-03-30
The Archives of Automotive Engineering – Archiwum Motoryzacji 2018;79(1):95–106
The paper presents results of simulation and experimental tests of proposed algorithm of compensation vehicle vertical and pitch dynamics in laser signals to get an estimation of road unevenness profile. In the beginning of the paper the problem of defining actual road unevenness profile height was described and a method to solve this problem was proposed. The described problem arises from the fact that measurement of the distance between laser height sensor and road is done with a sensor mounted to the vehicle body, which have its own dynamics. The method of compensation laser sensor signal for body movement - pitch and heave – was proposed and tested with simulation and experimental tests. For simulation tests half car model implemented in a Simulink and Matlab was used and for experimental test passenger car Opel Astra was used with algorithm implemented in dSpace electronic control unit prototyping system. Simulation test proved that the idea is correct and allows to fully compensate laser signal for body movement. Experimental test showed that method is easy to implement and fully effective in a simulation environment but is much more complicated with a real application. It is because information about body movement is not accurate as in a simulation and a special signal processing methods need to be added to procedure working with a simulation signals. Acceleration signals must be integrated with use of a special band pass filtering, but with its use it is able to get good results of compensation also with a real car and real sensor signals.
Ahmed M M, Svaricek F. Preview Optimal Control of Vehicle Semi-active Suspension Based on Partitioning of Chassis Acceleration and Tire Load Spectra, European Control Conference (ECC). 2014:1669-1674.
Bouzouraa M E, Kellner M, Hofmann U, Lutz R. Laser scanner based road surface estimation for automotive applications, IEEE SENSORS 2014 Proceedings, Valencia: 2034-2037.
Dąbrowski K, Ślaski G. Method and algorithm of automatic estimation of road surface type for variable damping control, Scientific Conference on Automotive Vehicles and Combustion Engines (KONMOT 2016).
Donahue M D, Hedrick J K. Implementation of an Active Suspension, Preview Controller for Improved Ride Comfort, Nonlinear and Hybrid Systems in Automotive Control. 2003; 1–23.
Göhrle C, Schindler A, Wagner A, Sawodny O. Road Profile Estimation and Preview Control For Low-Bandwidth Active Suspension Systems, IEEE/ASME Transactions on Mechatronics. 2015; 20(5): 2299–2310.
Kitshing K J, Cebon D, Cole D J. An Experimental Investigation of Preview Control, Vehicle System Dynamics. 1999; 32(6): 459–478.
Savaresi S M, Poussot-Vassal C, Spelta C, Sename O, Dugard L. Semi-Active Suspension Control Design for Vehicles. Boston: Butterworth-Heinemann/Elsevier. 2010; 206.
Sugai H, Buma S, Kanda R, Yoshioka K, Hasegawa M. Preview Ride Comfort Control for Electric Active Suspension, Proceedings of the FISITA 2012 World Automotive Congress, Lecture Notes in Electrical Engineering. 2012; 198: 147-161.
Tudón-Martínez J C, Fergani S, Sename O, Martinez J J, Morales-Menendez R, Dugard L. Adaptive Road Profile Estimation in Semi-Active Car Suspension, IEEE Transactions on Control Systems Technology. 2015; 23(6): 2293-2305.