AUTO SENSORS AND ACTUATORS ECE 532
TECHNICAL PAPER 1 (SENSORS) This is the first part of the final Project paper and this case study involves research about a particular sensor of my choice from the system I have chosen for the project. For this research I have selected the Mass Air Flow sensor (MAF) form the Electronic Ignition System (EFI) which I have explained about in the project proposal. I have selected the most commonly used MAF sensor called the hot wire mass air flow sensor and discussed about it. The main components of the hot wire MAF sensor are a thermistor, a platinum hot wire, and an electronic control circuit. The thermistor measures the temperature of the incoming air. The hot wire is maintained at a constant temperature in relation to the thermistor by the electronic control circuit. An increase in air flow will cause the hot wire to lose heat faster and the electronic control circuitry will compensate by sending in more current through the wire. The electronic control circuit simultaneously measures the current flow and
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Since the heat transfer process is sensitive to both velocity and temperature of the air, any changes in temperature must be compensated in order to achieve accurate mass flow measurements. Hence Fuzzy Temperature Compensation scheme (FTCS) is employed to compensate the measurement error that might occur due to this sensitivity. In this case study the FTCS is used to compensate the error occurred by using sugeno type Fuzzy inference for temperature ranging from 60-100 0C. In order to verify this proposed compensation scheme first a simulation model is developed using Matlab/Simulink. Then the algorithm for FTCS is developed using c programming language and implemented in hardware based real time using digital signal controllers. The effectiveness of this method is verified with estimation error ranging from only + or – 1% over full scale