Power Electronics Simulation

Power conversion requires control of IGBTs, power MOSFETs, and other solid-state power electronics. Designing a digital controller with simulation can help ensure stability, improve power quality, optimize dynamic performance, and handle fault conditions. Power electronics simulation provides insight into interaction of digital control algorithms, power semiconductors, and the balance of the electrical system early during development, before hardware testing begins. For battery management systems and power electronics–based systems such as motor drives, power converters, and inverters, fast closed-loop simulation enables power electronics engineers to evaluate and verify their design choices before a controller is implemented.

Power electronics simulation should be considered for the following tasks:

• Designing and validating new topologies and control strategies
• Optimizing system behavior using model libraries of energy sources, power semiconductors, passive circuit elements, and machines such as PMSM and induction motors
• Analyzing system response to faults and abnormal conditions
• Eliminating design problems found through simulation before moving to implementation
• Reusing models to speed up design iterations and next-generation projects

Power electronics simulation with Simulink^® lets you model complex topologies with multiple switching devices using standard circuit components. You can run fast simulations with average models or ideal switching behavior, or use detailed nonlinear switching models for parasitics and detailed design. Unlike general-purpose circuit simulators such as SPICE, power electronics simulation with Simulink provides the following capabilities for control design, optimization-based studies, and automatic code generation from simulation models:

• Design, simulate, and compare controller architectures.
• Compute periodic steady-state operating points to eliminate startup transients, accelerate simulation, and provide accurate operating conditions for frequency response estimation. 
• Use system identification approaches to fit a parametric model and apply classical control design techniques such as Bode and root-locus analysis.
• Autotune controller gains in a single or multiple feedback loops using automated tuning tools. Design nonlinear controllers using techniques such as sliding mode control or gain scheduling.
• Design and thoroughly test fault protection circuits and logic.
• Use optimization and analysis tools to optimize system parameters and conduct sensitivity analysis.
• Accelerate studies requiring multiple simulations by running them in parallel on multicore processors and computing clusters.
• Generate C or HDL code from control algorithms for rapid prototyping using a real-time target computer or for implementation on a microcontroller or FPGA.
• Generate C or HDL code from circuit and machine models to a real-time target computer with multicore CPUs and FPGAs for validating a controller using hardware-in-the-loop.
• Apply formal validation capabilities to develop embedded software to comply with government regulations and standards such as UL 1741 for applications such as anti-islanding for solar power generation.