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Predictive control of switching power converters
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Predictive control of switching power converters : ウィキペディア英語版
Predictive control of switching power converters

Predictive Control of Switching Power Converters. Predictive controllers rely on optimum control systems theory and aim to solve a cost functional minimization problem.〔Levine, W. S. ed. The Control Handbook, CRC/IEEE Press, Boca Raton, USA, 1996.〕〔M. Athans, Lecture Notes on Design of Robust Multivariable Feedback Control System, Prof. of Electrical Engineering, MIT, Visiting Research Emeritus Prof ISR/IST, Lisboa, 2004〕 Predictive controllers are relatively easy to numerically implement but electronic power converters are non-linear time varying dynamic systems, so a different approach to predictive must be taken.
==Principles of non-linear predictive optimum control==
The first step to design a predictive controller is to derive a detailed direct dynamic model (including non-linearities) of the switching power converter. This model must contain enough detail of the converter dynamics to allow, from initial conditions, a forecast in real time and with negligible error, of the future behavior of the converter.
Sliding mode control of switching power converters chooses a vector to reach sliding mode as fast as possible (high switching frequency).
It would be better to choose a vector to ensure zero error at the end of the sampling period Δt.
To find such a vector, a previous calculation can be made (prediction);
The converter has a finite number of vectors (states) and is usually non-linear: one way is to try all vectors to find the one that minimizes the control errors, prior to the application of that vector to the converter.

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