Sinusoidal Pulse width modulation(SPWM) using MATLAB
Learn to design and simulate Unipolar, Bipolar, and Hybrid SPWM circuits using MATLAB and Simulink. Practical power electronics design skills.
Course Content
Sinusoidal Pulse width modulation(SPWM) using MATLAB is an all-levels Udemy course taught by Mohd khalid. It runs 2h 45m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 9 reviews, with 45 students enrolled. It is a paid course, last updated June 2020.
SPWM (Sinusoidal Pulse Width Modulation): A Key Technique for Inverters
Understanding SPWM, or Sinusoidal Pulse Width Modulation, is crucial for anyone working with power electronics and inverters. This technique is a vital form of pulse width modulation used to generate AC voltage from a DC input.
How it Works:
Inverters utilize switching circuits to create an AC output. SPWM achieves this by generating a series of square voltage pulses during each half cycle. The width of these pulses is what's modulated – adjusted to mimic the amplitude of a sine wave. Specifically, pulses closer to the peak of the half-cycle are narrower, while those near the zero-crossing are wider. This carefully controlled pulse width creates a waveform that closely resembles a sine wave.
The magic of SPWM lies in its ability to efficiently control the output voltage. By varying the pulse widths while maintaining the correct proportions relative to the sine wave's amplitude, you can precisely adjust the output voltage. Importantly, SPWM only manipulates the on-time (width) of the pulses, leaving the amplitude consistent.
Why is SPWM so Important?
SPWM is a widely adopted PWM technique in inverter applications due to its efficiency and effectiveness. A solid grasp of SPWM provides a strong foundation for understanding more advanced PWM techniques.
Take your learning further: With a good understanding of SPWM, you can effectively simulate your own inverter designs using tools like MATLAB/Simulink, allowing for hands-on experimentation and a deeper understanding of advanced PWM methodologies.
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