Online optimization of a preview controller – structure and algorithms

Active suspension systems are used to increase ride comfort and safety of vehicles. Optimal results can be achieved if disturbances from the track are known in advance. Usually, this causes a problem as track excitations cannot be measured until they take effect on the vehicle. Here, we present an approach to disturbance compensation for railway vehicles coupled in a network. Information on stationary arising track disturbances are gathered by vehicles and stored locally at track sections. By repeated runs over a respective section this information is iteratively optimized and can be used for the disturbance compensation in subsequent vehicles.

The developed optimization algorithm is described. Design criteria are derived from digital control theory. The procedure was implemented on a testbed for a semi-vehicle with three degrees of freedom, where its usability was proved. The results are discussed and, finally, some aspects of generalization are considered.