Hi @Pablo
In general, when designing a model-based controller in conventional simulation platforms, you gain complete control over the system's response by manipulating the parameters of the controller using some formulas.
Put simply, the voltage controller is designed to provide an input signal to the system that yields the desired response. This approach works super effectively in simulation scenarios if the designer possess full mathematical knowledge of the system.
However, if you simply add blocks to the Simulink canvas without comprehending the underlying mathematical model of the electrical system you are designing, you would need to adopt a data-driven design approach. In this approach, you rely on AI-powered optimization algorithms to iteratively learn and search for the optimal control gains. This data-driven design approach can be effective, provided that you possess the necessary proficiency in utilizing the AI tool without the requirement of deriving the mathematical physics models.
