Abstract
In this paper, a fuzzy-logic based operator is used instead of a traditional cost function for the predictive stator current control of a five-phase induction machine (IM). The min-max operator is explored for the first time as an alternative to the traditional loss function. With this proposal, the selection of voltage vectors does not need weighting factors that are normally used within the loss function and require a cumbersome procedure to tune. In order to cope with conflicting criteria, the proposal uses a decision function that compares predicted errors in the torque producing subspace and in the x-y subspace. Simulations and experimental results are provided, showing how the proposal compares with the traditional method of fixed tuning for predictive stator current control.
Highlights
Model Predictive Control (MPC) has been applied to many different types of energy systems [1,2].In the case of electric machines, the predictive controller can directly command a power converter, typically a Voltage Source Inverter (VSI) yielding a direct digital control scheme [3] that is often referred to as FSMPC and FCSMPC
The five-phase two-levels VSI is made of two three-phase Semikron SKS22F modules
It has been shown that a fuzzy decision making scheme can be used for predictive stator current control of multi-phase induction machine (IM)
Summary
Model Predictive Control (MPC) has been applied to many different types of energy systems [1,2]. In the case of electric machines, the predictive controller can directly command a power converter, typically a Voltage Source Inverter (VSI) yielding a direct digital control scheme [3] that is often referred to as FSMPC and FCSMPC This scheme has been recently used in many applications, including multi-phase IMs. A particular configuration for IM control is Predictive Stator Current. Due to computation time constraints, most PSCC use a prediction horizon of 2 steps and a control horizon of just 1 move This means that the traditional Weighting Functions (WF) of MPC contain just one value per LF term [12]. For a review) mainly for the Predictive Torque Control (PTC) of conventional (three-phase) IMs. The proposal of this paper removes the weighting factors by using a min-max decision function where the different sub-spaces, α − β and x − y, are given a relative importance based solely on their relative values. Some conclusions are derived at the end of the paper
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