Artificial Intelligence for Combustion Engine Control

Abstract

<div class="htmlview paragraph">Existing electronic combustion engine control systems only guarantee a desired air-to-fuel-ratio λ in stationary operation. In order to achieve the desired λ also in in-stationary use of the engine, it is necessary to use new-technology-based control systems.</div> <div class="htmlview paragraph">Artificial Intelligence provides methods to cope with difficulties like wide operation range, unknown nonlinearities and time delay.</div> <div class="htmlview paragraph">We will propose a strategy for control of a Spark Ignition Engine to determine the mass of air inside the combustion chambers with the highest accuracy. Since Neural Networks are universal approximators for multidimensional nonlinear static functions they can be used effectively for identification and compensation purposes of unknown nonlinearities in closed control loops.</div>