Abstract
In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six-phase motor. After extensive simulation and Pareto screening, a new structure has been discovered linking several figures of merit. This structure provides an simple explanation for previously reported results concerning the difficulty of cost function tuning for FCSMPC. In addition, the newly discovered link among figures of merit provides valuable insight that can be used for control design. As an application, a new cost function design scheme is derived and tested. This new method avoids the usual and cumbersome procedure of testing many different controller parameters.
Highlights
Multi-phase systems are preferred in some applications due to lower torque oscillations and harmonic content compared with conventional systems
In FiniteControl Set Model Predictive Control (FCSMPC) current control stator current control is the objective, whereas additional controllers are needed for flux and speed regulation [1]
The methodology followed in the paper is to produce a large number of experimental values for the performance criteria obtained from different FCSMPC tunings; the data is fitted to a relatively simple mathematical expression
Summary
Multi-phase systems are preferred in some applications due to lower torque oscillations and harmonic content compared with conventional systems. In this paper and continuing with the seminal work of [4], a selected number of variables for assessment (performance criteria) is used The locus of these variables for different tunings of the FCSMPC reveals a not previously reported structure that links them. This finding means that a certain conservation law is in place, preventing the control system from simultaneously improving more than one performance criteria. The methodology followed in the paper is to produce a large number of experimental values for the performance criteria obtained from different FCSMPC tunings; the data is fitted to a relatively simple mathematical expression This structure provides an simple explanation for reported results.
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