Introduction Spark Ignition ( SI ) Engine Control : Control of a SI engine for the best fuel efficiency, low emission and good drivability is a demanding control system problem. Classical control techniques like PID control can’t provide the best performance over the entire operating envelop due to highly non-linear behavior of the engine. OBJECTIVES To design and develop the Engine Management System (EMS) based on Neural Network based Fuzzy Logic Control (FLC) / Model Reference Control (MRC) techniques to improve the engine performance and reduce pollution. To reduce the controller tuning time with minimal number of experiments

Engine Management System (EMS)

Engine open loop response Engine Specification: 125 CC, 4-Stroke Port Fuel Injected (PFI) Gasoline Engine Engine open loop response

Performance Graphs With closed loop Proportional Control of Spark Time Engine Speed fluctuations was reduced, hence improved Noise, Vibration and Harshness (NVH). Reduced Fuel consumption resulted in less Green House gas (CO2) and HC emissions Engine Test Results

Model Reference Idle Speed Engine controller Engine Reference Model VMRC Reference Speed + Spark Time Error Actual Speed Engine PID Controller + + - Speed Signal Conditioning Speed Sensor Proposed Model Based Controller

Summary A low cost Microcontroller based Engine Management System (EMS) for a single cylinder Spark Ignition (SI), Port Fuel Injected (PFI) was designed and developed. The control algorithms for Classical PID and Fuzzy Logic control techniques have developed and tested. The closed loop performance shows improvement in terms Idle Speed, Fuel Consumption and Emissions. Test will be conducted to evaluate the performance of the Model Reference Control algorithm over the conventional techniques.