Electrical engineering

Physics

Nonlinear system

Gene

Engineering

Voltage

Model predictive control

Artificial intelligence

Control (management)

Chemistry

Programming language

Converters

Constant (computer programming)

Computer science

Quantum mechanics

DC motor

Control theory (sociology)

Biochemistry

Robustness (evolution)

IEEE Journal of Emerging and Selected Topics in Power Electronics

This article addresses the problem of stabilization of dc–dc converters feeding constant power loads (CPLs). An explicit model predictive control is developed based on an average model of a boost converter. The optimal control law is obtained offline by solving a multiparametric nonlinear programming problem over a simplex partition of the state space. The performance is validated through simulation and experimental studies. A delay compensation scheme is included for online implementation. The control is able to drive the output voltage to the desired level and stabilize it despite the instability effects produced by the presence of CPLs. It also features robustness against abrupt changes on the input voltage and the load.

Nonlinear Model Predictive Stabilization of DC–DC Boost Converters With Constant Power Loads