EMBEDDED PROCESSOR SYSTEM FOR FUZZY LOGIC TEMPERATURE CONTROLLER

Abstract

An embedded processor system for controlling the runtime of devices based on the input temperature value was build and validated using ANFIS approach. The system was constructed on an Pynq-Z2 field-programmable gate array (FPGA). The software part was coded using the C language which provides memory efficiency and high performance in exception. A set of fuzzy rules was designed and the ANFIS model was trained and validated using training and tests sets. The validation parameters of both the training and test sets showed that the model is efficient and reliable with low error rates in prediction. The prediction of the model is used to compute the duty cycle which controls the runtime of different devices. Thus, the newly designed system is robust and can be used in various applications to provide efficient and accurate control.