Non-linear Model-based Predictive Control of a Low-Temperature Gasoline Combustion Engine

摘要

The thesis at hand deals with the non-linear constrained model-based predictive control of the gasoline low-temperature combustion of the controlled auto-ignition process. For the first time controllers are presented for constraining process characteristics of the combustion while this instable process is operated with highly dynamical transients. The text includes details on the test bed setup, the process and methods for the implementation of non-linear model-based controllers. The methods are combined with a newly proposed derivate of the closed-loop paradigm in order to build non-linear and linear controllers. These are benchmarked against a gain-scheduled PID-controller for pointing out the necessity for a non-linear control when constraints are enforced. All controllers are presented in detail and their robustness is reviewed in a HIL test bed setup. The work concludes with the presentation of results obtained by the implementation of the controllers to the real engine.