Model Based Unified Framework for Detection and Mitigation of Cyclic Torque Imbalance in a Gasoline Engine
Abstract The torque produced by the internal combustion engine is desired to be of similar value for consecutive combustion cycles; nevertheless, the difference occurs in the cyclic torque due to disturbances in its generation. The variation between output work of successive combustion cycles is considered as the main cause of imbalance in the cyclic torque. Such variations are displayed in engine output torque and affect its fuel efficiency as well as exhaust emissions. In this paper, a model based unified framework is proposed for the detection and mitigation of cyclic toque imbalance in gasoline engines. First Principle Based Engine Model (FPEM) is employed to develop the proposed novel framework. Fault in fuel injection subsystem is induced to generate an imbalance in the cyclic torque. Uniform Second Order Sliding Mode (USOSM) observer is applied for the estimation of the unknown input i.e. net piston force from engine speed dynamics to detect the imbalance in cyclic torque. Estimated net piston force is employed to design the control law for Certainty Equivalence Super Twisting Algorithm (CESTA) based Fault Tolerant Control (FTC) technique to mitigate the torque imbalance. First Principle Based Engine Model is transformed to get a direct relation between engine speed and fuel input. Results of numerical simulation demonstrated that the desired objective is achieved by the proposed unified framework.