Power Electronics Control Design

Build accurate system models using MATLAB, Simulink, and Simscape Electrical by using libraries of motors, power electronics, sensors, and loads. Explore the full potential of Bode plots and root locus, as well as other classic linear control design techniques. The inverter power electronics that regulate voltage and frequency can be controlled via automated PID tuning.

With the Simulink Control Design Toolbox, engineers can implement various control algorithms to manage uncertainties in power electronics control design. These algorithms allow for approximate reasoning and systematic handling of imprecise systems.

To design current and speed controllers, you can use Simulink to run closed-loop simulations under normal and abnormal operating conditions. To ensure safe motor operation, fault detection and protection logic for model starting, shutdown, and error modes, as well as derating and protection logic, must be designed.

Simulate analog and digital components in the same environment with Simulink. Evaluate and verify design choices before implementing the controller with a closed-loop simulation of the power stage and controller. Artificial intelligence techniques, such as fuzzy logic and neural networks, can be employed to enhance control strategies, providing adaptability and superior management of uncertainties.

Model power converters at different levels of fidelity. Using AC frequency sweeps and system identification, small signal analysis on switching converter models is performed to obtain linear models. Classic control techniques (Interactive Loop Shaping with Bode, Root-Locus Plots) are possible with these models. Tools like Simulink assist in different stages of development, simplifying workflows by enabling rapid prototyping and ensuring the correctness of generated code.

Simulate electronic circuitry and battery pack models with lumped parameters. Work with models that have equivalent RC circuit battery packs models, switching power electronics, and varying loads and environmental conditions. Design, tune, and test supervisory, closed-loop, and fault-detection algorithms with Simulink.

Battery systems are crucial when designing and testing control algorithms, particularly for electric vehicles.

Using test data, tune battery model parameters and capture cell chemistry, thermal, aging, and other nonlinear characteristics. State observers are designed for state-of-charge (SoC) for cell balancing and state-of-health online estimation.