Description

Abstract—

This paper presents the design and implementation of Arduino Uno based DC motor speed control system using Multilayer Neural Network controller and PID controller. A model reference structure is developed using PID control to obtain the neural controller .The artificial neural network is trained by Levenberg-Marquardt back propagation algorithm. Feed forward neural network with two hidden neurons and one output neuron is used. Speed of the dc motor is controlled by varying the duty cycle of the pwm signal which is fed to the gate of the mosfet irf 640. Simulation and practical results are presented to demonstrate the effectiveness and advantage of the control system of DC motor with ANNs in comparison with the conventional control scheme in Matlab/Simulink R2013b. PID algorithm and ANN controller is implemented in Arduino Uno because of its easy compatibility and portability.

 

INTRODUCTION:

This paper presents the design and implementation of Arduino Uno based DC motor speed control system using Multilayer Neural Network controller and PID controller. A model reference structure is developed using PID control to obtain the neural controller .The artificial neural network is trained by Levenberg-Marquardt back propagation algorithm. Feed forward neural network with two hidden neurons and one output neuron is used. Speed of the dc motor is controlled by varying the duty cycle of the pwm signal which is fed to the gate of the mosfet irf 640. Simulation and practical results are presented to demonstrate the effectiveness and advantage of the control system of DC motor with ANNs in comparison with the conventional control scheme in Matlab/Simulink R2013b. PID algorithm and ANN controller is implemented in Arduino Uno because of its easy compatibility and portability.

 

BLOCK DIAGRAM:

 

Hardware Tools

• Arduino Uno
• BCI
• DC Motor
• Arduino IDE
• Embedded-C
• MATLAB

Software Tools