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 response
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
Error
Actual Speed
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.