Localized-Based Control Algorithm For Passenger Ride Comfort
Kim, Suk Jin
MetadataShow full item record
In this thesis, a new localized-based suspension control strategy is developed, simulated and validated with experimental results. Basic concepts of mathematical vehicle models, suspension systems, and conventional control algorithms, namely skyhook, groundhook, and hybrid controllers, used for ride comfort and road holding are also studied and implemented for comparison. The conventional control algorithms are for the vertical motion of a sprung mass, or an unsprung mass at each corner of a vehicle. The proposed localized-based control algorithm is a controller that can change its target location in a vehicle to where it is needed most. Simulation results show that the localized-based controller provides better ride comfort on targeted locations than the conventional control algorithms. Experimental results using a Cadillac STS test vehicle are used to compare the localized-based control algorithm with the conventional algorithms in vehicle comfort and holding. The results show that the new controller improves ride comfort more than other controllers. The prospect of easily adapting the new control algorithm to various vehicles is promising.