Speed, Flow and Cooling Proportional Control Using Temperature

Automatic control is vast technological area to improve performance, reduce power and reduces the human operator. In every industry flow rate, speed rate are important parameters specially petroleum, chemical, automobile industries. This paper work is to implement an artificial intelligent control method for flow and speed system and is suitable for low temperature applications of PID theory and how this theory can be applied to model and predict ‘Speed, Flow and cooling’ proportional control using temperature. The PID system provides feedback and response to the system in order to allow the control system to automatically adjust itself. The goal of this project is to explore the application controller to speed ,flow and cooling proportional control using temperature sensor LM35DZ .This is accomplished by gathering the distance from a thermistor using PID theory to predict the appropriate K, Kp values for the system correctly adjust itself.