Title :
Preview optimal control of vehicle semi-active suspension based on partitioning of chassis acceleration and tire load spectra
Author :
Ahmed, M.M. ; Svaricek, Ferdinand
Author_Institution :
Dept. of Aerosp. Eng., Group of Control Eng., Univ. of the Fed. Armed Forces Munich, Neubiberg, Germany
Abstract :
In order to improve the performance of vehicle semi-active suspension, a preview optimal controller is introduced. This controller consists of a model based feed-forward controller and an optimal feedback controller. To reduce the online computational cost, several control laws for different frequency ranges are extracted from the data of the optimal controller according to the detected frequency of the measured variables. The road profile ahead is scanned using LIDAR (LIght Detection And Ranging) sensors. By using the trigonometric relations of the sensor with respect to the vehicle motion, the road profile is calculated. Simulation and experimental results have shown an improved performance regarding ride comfort and road handling compared to other controllers without preview.
Keywords :
automobiles; feedback; feedforward; optical radar; optical sensors; optimal control; predictive control; road traffic control; suspensions (mechanical components); tyres; vehicle dynamics; LIDAR sensor; chassis acceleration partitioning; control laws; frequency range extraction; light detection and ranging sensors; model based feedforward controller; model predictive control optimization problem; online computational cost reduction; optimal feedback controller; preview optimal control; ride comfort; road handling; road profile ahead scanning; tire load spectra; trigonometric relations; vehicle motion; vehicle semiactive suspension performance; Laser radar; Optical sensors; Tires;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862615
