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Introduction

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.

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Introduction

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Presentation Transcript

  1. 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

  2. Engine Management System (EMS)

  3. Engine Open Loop • Engine Specification: 125 CC, 4-Stroke Port Fuel Injected • (PFI) Gasoline Engine Engine open loop response

  4. 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

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

  6. 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.

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