Design & Simulation of BLDC Motor Drive Rotor Angle Control using MATLA...

Click here to download the Simulink Model: https://drive.google.com/file/d/1JqGWZ7Pqk1HKKXcwzkvGwyyg6Jdqme9H/view?usp=sharing This example shows how to control the rotor angle in a BLDC based electrical drive. The BLDC includes a thermal model and empirical iron losses. An ideal torque source provides the load. The Control subsystem uses a PI-based cascade control structure with three control loops: an outer position control loop, a speed control loop, and an inner current control loop. The BLDC is fed by a controlled three-phase inverter. The gate signals for the inverter are obtained from hall signals. The simulation uses step references. The initial temperature of the stator windings and rotor is set to 25 degrees Celsius. Ambient temperature is 27 degrees Celsius. The Scopes subsystem contains scopes that allow you to see the simulation results.

Design & Simulation of Speed Control of Brushless DC Motor using MATLAB ...

Click here to download the Simulink File;

https://drive.google.com/file/d/1wnlCjZI9pCrz9Kr2FBe1XsfQ9fo8gQs1/view?usp=sharing

BLDC motor control design using Simulink® lets you use multirate simulation to design, tune, and verify control algorithms and detect and correct errors across the complete operating range of the motor before hardware testing.

Using simulation with Simulink, you can reduce the amount of prototype testing and verify the robustness of control algorithms to fault conditions that are not practical to test on hardware.

You can:

• Model BLDC motor with a trapezoidal or arbitrary back EMF Model current controllers, speed controllers, and modulators
• Model inverter power electronics
• Tune BLDC motor control system gains using linear control design techniques such as Bode plot and root locus and techniques such as automated PID tuning Model startup, shutdown, and error modes and design derating and protection logic to ensure safe operation
• Design signal conditioning and processing algorithms for the I/O channels
• Run closed-loop simulations of the motor and controller to test system performance under normal and abnormal operating scenarios
• Automatically generate ANSI, ISO, or processor-optimized C code and HDL for rapid prototyping, hardware-in-the-loop testing, and production implementation

Modeling & Simulation of Hysteresis Current Controller for BLDC Motor D...

This example shows how to control the currents in a BLDC based electrical drive using hysteresis controllers. 

A DC voltage source feeds the BLDC through a controlled three-phase inverter. A ramp of current request is provided to the motor controller.

 The load torque is quadratically dependent on the rotor speed. 

The Control subsystem implements the hysteresis-based current control strategy. 

The Scopes subsystem contains scopes that allow you to see the simulation results.

Click Here to Download the Simulink File: https://drive.google.com/file/d/12pDoH-LDvU4q8htGEM6uygPUkQBOzLJN/view?usp=sharing

Design & Simulation Of Solar Power Converter using Matlab Simulink

This example shows how to determine the efficiency of a single-stage solar inverter. 

The model simulates one complete AC cycle for a specified level of solar irradiance and corresponding optimal DC voltage and AC RMS current. 

Using the example model ee_solar_characteristics, the optimal values have been determined as 342V DC and 20.05A AC for an irradiance of 1000W/m^2 and panel temperature of 20 degrees Celsius. 

Inverter efficiency is determined in two independent ways. 

The first compares the ratio of AC power out to DC power in over one AC cycle.

 The second calculates losses by component by making use of Simscape™ logging. The small difference in calculated efficiency value is due to differences between trapezoidal integration used by the script and the greater accuracy achieved by the Simulink® variable-step solver.

Click here to download the simulink Model: https://drive.google.com/file/d/1HmhIRF5NXrXrWA2EXj7O2nexM5eRe8i-/view?usp=sharing

Design and Simulation of Small Scale Micro Grid Using Matlab Simulink

To Download the Simulink Model Click Here: https://drive.google.com/file/d/1SbR2meBPt5gtBjG-tPSmHvZ3lnpk01LW/view?usp=sharing Hiroumi Mita (MathWorks) This example shows the behavior of a simplified model of a small-scale micro grid during 24 hours on a typical day. The model uses Phasor solution provided by Specialized Power Systems in order to accelerate simulation speed. Description: The micro-grid is a single-phase AC network. Energy sources are an electricity network, a solar power generation system and a storage battery. The storage battery is controlled by a battery controller. It absorbs surplus power when there is excess energy in the micro-network, and provides additional power if there is a power shortage in the micro-network. Three ordinary houses consume energy (maximum of 2.5 kW) as electric charges. The micro-array is connected to the power network via a transformer mounted on a post which lowers the voltage of 6.6 kV to 200 V. The solar power generation and storage battery are DC power sources that are converted to single-phase AC. The control strategy assumes that the microarray does not depend entirely on the power supplied by the power grid, and the power supplied by the solar power generation and storage are sufficient at all times. Simulation: From 20h to 4h, the solar power generation is 0 W. It reaches the peak amount (5 kW) from 14h to 15h. As a typical load change in ordinary houses, the amount of electric power load reaches peak consumption at 9h (6,500 W), 19h, and 22h (7,500 W). From 0h to 12h and from 18h to 24h, battery control is performed by battery controller. The battery control performs tracking control of the current so that active power which flows into system power from the secondary side of the pole transformer is set to 0. Then, the active power of secondary side of the pole mounted transformer is always around zero. The storage battery supplies the insufficient current when the power of the micro-grid is insufficient and absorbs surplus current from the micro-grid when its power is surpasses the electric load. From 12h to 18h, battery control is not performed. SOC (State Of Charge) of the storage battery is fixed to a constant and does not change since charge or discharge of the storage battery are not performed by the battery controller. When there is a power shortage in the micro- grid, the system power supplies insufficient power. When there is a surplus power in the micro-grid, surplus power is returned to the system power. At 8h, electricity load No. 3 of an ordinary house is set to OFF for 10 sec by the breaker. A spike is observed in the active power on the secondary side of the pole transformer and the electric power of the storage battery.