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Predictive Control of Three Phase AC/DC Converters

Predictive Control of Three Phase AC/DC Converters

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4 CHAPTER 1. INTRODUCTION<br />

trol in three phase inverters [19], [20], [21], [22], [23], [24], [25], [26], [27], [28],<br />

rectifiers [29], [30], active filters [31], [32], power factor correctors [33], power<br />

factor preregulators [34], [35], uninterruptible power supplies [36], [37], [38], <strong>DC</strong>-<br />

<strong>DC</strong> converters [39] and torque control <strong>of</strong> induction machines [40]. This method<br />

is being used, when a fast dynamic response is required. However, parameters<br />

mismatch, unmodeled delays, and other errors in the model deteriorate control<br />

performance.<br />

Model <strong>Predictive</strong> <strong>Control</strong> (MPC) has been successfully used in practical applications<br />

in recent decades. Theoretical results and applications have been presented<br />

in many books and survey papers [41], [42], [43], [44], [45], [46], [47], [48].<br />

The MPC can be divided into two main groups: with continuous control sets,<br />

where modulator realizes switching states, and finite control set MPC, which<br />

directly controls power converter switches.<br />

Feature VSF CSF<br />

Switching Variable Constant<br />

frequency<br />

SVM blocks No No<br />

Coord. trans. No No<br />

Direct control <strong>of</strong>: Line powers Line powers<br />

Estimation <strong>of</strong>: Virtual Flux Virtual Flux<br />

and Powers and Powers<br />

Current ripple High Low<br />

Sampling High Low<br />

frequency<br />

Line voltage Yes Yes<br />

sensorless<br />

Table 1.2: Comparison <strong>of</strong> predictive control methods<br />

The finite control set method (FS-MPC) meets very well discrete nature <strong>of</strong><br />

power converters. Taking into account the finite set <strong>of</strong> possible switching states<br />

<strong>of</strong> the power converter, which depends on the possible combinations <strong>of</strong> the “on”<br />

and “<strong>of</strong>f ” switching states <strong>of</strong> the power switches, the optimization problem is<br />

reduced to the evaluation <strong>of</strong> all possible states, and selection <strong>of</strong> the one which<br />

minimizes value <strong>of</strong> the defined cost function. In view <strong>of</strong> switching frequency the<br />

FS-MPC methods can be divided into two groups: Variable Switching Frequency<br />

(VSF) and Constant Switching Frequency (CSF). Both approaches have been<br />

briefly compared in Tab. 1.2. Although, one advantage <strong>of</strong> predictive control<br />

is that its concepts are very simple and intuitive. Using predictive control it is<br />

possible to avoid the cascaded structure, which is typically used in a linear control<br />

scheme. However, power converters are nonlinear systems. Additionally, the<br />

dynamic <strong>of</strong> cascade structure is limited because <strong>of</strong> use conventional PI controllers,

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