Research On Start Process And Rail Pressure Control Strategy Of Opposed-piston Two-stroke Diesel Engine

With the energy crisis and environmental pollution, it’s becoming more strict for the power performance, fuel economy and emission of the engine. The development of new engines is becoming the focus research topic of the internal combustion engine. Opposed-piston two-stroke Diesel Engine is a new type of reciprocating piston internal combustion engine, since its dramatically advantages such as high thermal efficiency, high power density and excellent balance performance. The fuel system of the Opposed-piston two-stroke Diesel Engine is high-pressure common-rail fuel system, which can not only realize two injector fuel injection quantity per cylinder precision of injection timing control, also can realize the flexible control of fuel injection pressure and injection rate.This thesis researched on the designing control algorithm based on the state feedback algorithm. This thesis presents a Linear Parameter Varying (LPV) modeling approach for the longitudinal motion of a generic missile. It was applied to design control strategy of opposed-piston two-stroke diesel engineBased on the quick, stationary, reliable start process requirement of opposed-piston two-stroke engine, this thesis presented start process control strategy which combined by Bang-Bang start process time optimal control strategy and LQR fuel quantity and speed coordinated control strategy. It verified by Matlab/.Simulink simulation and bench test.Combining with the engine parameters, the pressure diferential equations of high pressure pump, common rail and injectors of the high-pressure common-rail fuel system are established according to the physical structure and features of the Opposed-piston two-stroke Diesel Engine. Using the LPV system linearization theory, state space model of the high-pressure common-rail fuel system was established. The optimal control strategy was designed with the state feedback control algorithm, which was verified by Matlab/.Simulink simulation and bench test.