Optimal PID control of a brushless DC motor using PSO and BF techniques

Brushless DC Motor Fuzzy PID Control System and Simulation

For digital model of brushless DC motor, simulation models can be built in MATLAB / Simulink. Simulation parameters are selected parameters according to the actual system. The conventional PID control algorithm produce large overshoot and oscillation, we use fuzzy logic PID algorithm to response quickly and back the system overshoot to steady state, the steady state has a higher precision, fast...

A PSO-Based Optimum Design of PID Controller for a Linear Brushless DC Motor

This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportional-integralderivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modelled in Simulink and...

Optimal Tuning of PID Controller for a Linear Brushless DC Motor using Particle Swarm Optimization Technique

This Paper presents a novel Cultural Algorithm based particle swarm optimization (PSO) technique which is intended to assist in converging to a accurate solution in the control of Linear Brushless Direct Current motor (LBLDC). With the novel PSO-based approach the optimal Proportional-Integral-Derivative (PID) controller parameters are deduced for efficient speed control of Linear Brushless DC ...

AVR194: Brushless DC Motor Control using ATMega32M1

Brushless Dc Motor Speed Control Using Microcontroller

The hardware project is designed to control the speed of a BLDC motor using closed loop control technique. BLDC motor has various application used in industries like in drilling, lathes, spinning, electric bikes etc. The speed control of the DC motors is very essential. This proposed system provides a very precise and effective speed control system. The user can enter the desired speed and the ...