ARM-Cortex microcontroller fuzzy position control on an automatic door test-bed

Abstract

This paper describes an application of a fuzzy logic [1] implementation on an ARM-Cortex microcontroller. The microcontroller with integrated fuzzy logic was tested on motor position and speed control application. Fuzzy logic is a subtype of multi-valued logic and can be used in combination with other controller types (PI, PID, neural networks, genetic algorithms, etc.). The microcontroller is the core, or the “brains”, of the device. Complex devices include two or more microcontrollers that exchange data via various communication protocols. Each microcontroller has integrated software, which represents the “mind” of the microcontroller. Without software, the microcontroller is just a useless electronic component. The software represents fuzzy logic, which controls the motor position in this application. The microcontroller's software is often written in the C programming language. Expression often means that there are available more programming languages. Position control has a closed loop, meaning that the position of the motor is regulated to a reference position if the motor load is changing. The first goal of this application is to write a C language source code for a fuzzy logic inference engine for the ARM Cortex M3 microcontroller. The second goal is to test this fuzzy logic inference engine on an automatic door for position control with combination of PI speed controller. The last goal is to analyze the automatic door behavior with fuzzy logic controller by variable door wing weight.