Design And Modeling Of BLDC Motor Drive With Regenerative Braking System Based On Fuzzy-PID Controller For Electric Vehicle

Abstract

Due to the increase in demand of energy, new technologies have evolved to improve energy efficiency like regenerative braking. In this thesis, the energy storage device, battery, with converters and Brushless Direct Current (BLDC) motor are used to analyze regenerative braking. The fuzzy logic control was used in three phase BLDC motor in order to control the four quadrant operations without any loss of power. Brushless Direct Current (BLDC) motors are one of the motor types rapidly gaining popularity. BLDC motors are used in industries such as appliances, automotive, aerospace, medical, industrial automation equipment and instrumentation. BLDC motor with matching servo amplifiers offer many features than other motion control systems, like broader speed range, operation in special environments and mechanical advantages. Brushless dc motor and servo amplifier therefore presents a complete line of compatible; latest technology of brushless system components. The speed control is achieved by using fuzzy-proportional integral derivative controller. The fuzzy-PID control is used in three phase BLDC motor in order to control the four quadrants operations without any loss of power. In fact, energy is conserve during the regenerative period and storage of excess energy created during regenerative braking condition of the battery. When motoring mode battery state of charge decreasing and when braking mode battery SOC increasing with and without lode. The bidirectional DC-DC converters are often used for the battery charging and discharging application. The main aim of this thesis is to control the power flow under acceleration and braking conditions. During acceleration and normal modes, the power flows from battery to motor, and during braking or regenerative mode the kinetic energy of the motor is converted into electrical energy and fed back to the battery. The simulation will be done for Brushless DC motor with fuzzy-PID controller using MATLAB/Simulink software.