Browse Publications Technical Papers 2008-01-0534

Adaptive Linear Quadratic Control for High Dynamical and Comfortable Behavior of a Heavy Truck 2008-01-0534

During the last few years numerous innovations in advanced driveline control have improved the performance of commercial vehicles. In this context a major goal of driveline control is the enhancement of dynamical behavior and driving comfort. However, fast engine torque changes during Tipin and Tipout operations improve the dynamical behavior but induce unintentional driveline jerking at the same time. Due to this fact that comfort is contradictory to dynamic, a control strategy is necessary, which can handle with both targets at the same time. Based on a simple model of the driveline two Linear Quadratic (LQ) controllers are developed: A comfort controller, which damps the driveline oscillations, and a dynamic controller, which guarantees a high dynamical performance. However, as both controllers have different targets it is not possible to activate both at the same time. Therefore, a fusion of both manipulated variables dependant on the driving situation and the drive input is integrated.
The second main focus of this article is on the problem of dealing with time varying parameters. Adapting the LQ-controllers to these changes by an online identification method based on recursive least-squares estimation is indispensable for a good performance.
Both resulting algorithms - the offline and the online advanced LQ-controllers - are validated in simulation and show a very good improvement of the dynamical behavior as well as the driving comfort at the same time.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 18% off list price.
Login to see discount.
We also recommend:

Advanced Techniques for Off- and Online-Identification of a Heavy Truck Driveline


View Details


Comfort and Vibration Study of a Tractor and Trailer Combination Using Simulation and Experimental Approaches: the Jumping Ride Behavior


View Details


Utilizing a Genetic Algorithm to Optimize Vehicle Simulation Trajectories: Determining Initial Velocity of a Vehicle in Yaw


View Details