Optimization of Hot Wire Mass Airflow Sensor by Using Fuzzy Logic Controller

Recently, there has been a growing demand for flow-temperature sensors for industrial, automotive, domestic and medical applications. A quick response and low power consumption. Hot Wire Mass Airflow Sensors are used in automotive industry to measure the mass air flow intake into the internal combustion engine according to heat transfer principles. As the heat transfer process is sensitive both to the velocity and temperature of the air, any changes in temperature must be compensated for in order to achieve accurate mass flow measurements. In this paper, the development of a Fuzzy Temperature Compensation Scheme (FTCS) for Hot Wire Mass Airflow (MAF) Sensor is presented. This FTCS used to compensate the measurement error occurred by using Sugeno type FIS for temperature of 60¡C-100¡C. In order to verify the performance of the proposed Hot Wire MAF Sensor temperature compensation scheme, first a simulation model is developed using Matlab/Simulink. Then, the algorithm for FTCS has been developed using Programming C Language and been implemented in hardware based real-time using Digital Signal Controllers, (dsPIC). The effectiveness of the proposed fuzzy compensation scheme is verified with the estimation error within only ±1% over full-scale value.