DC-Link Capacitor and Inverter Current Ripples in Anisotropic Synchronous Motor Drives Produced by Synchronous Optimal PWM

Birda, Athina; Grabher, Christoph; Hackl, Christoph M.; Reuss, Joerg

doi:10.1109/tie.2021.3084167

Cited by 3 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All of those optimal operation strategies exploit the non-uniqueness of the current pairs which produce the same torque [4]. In order to minimize conduction and switching losses additionally, optimal pulse patterns (OPPs) must be implemented [7] which have to be computed separately for nonlinear machines with significant anisotropy [8,9].…”

Section: Introduction 1motivationmentioning

confidence: 99%

Artificial Neural Network Based Optimal Feedforward Torque Control of Interior Permanent Magnet Synchronous Machines: A Feasibility Study and Comparison with the State-of-the-Art

2022

Self Cite

View full text Add to dashboard Cite

A novel Artificial Neural Network (ANN) Based Optimal Feedforward Torque Control (OFTC) strategy is proposed which, after proper ANN design, training and validation, allows to analytically compute the optimal reference currents (minimizing copper and iron losses) for Interior Permanent Magnet Synchronous Machines (IPMSMs) with highly operating point dependent nonlinear electric and magnetic characteristics. In contrast to conventional OFTC, which either utilizes large look-up tables (LUTs; with more than three input parameters) or computes the optimal reference currents numerically or analytically but iteratively (due to the necessary online linearization), the proposed ANN-based OFTC strategy does not require iterations nor a decision tree to find the optimal operation strategy such as e.g., Maximum Torque per Losses (MTPL), Maximum Current (MC) or Field Weakening (FW). Therefore, it is (much) faster and easier to implement while (i) still machine nonlinearities and nonidealities such as e.g., magnetic cross-coupling and saturation and speed-dependent iron losses can be considered and (ii) very accurate optimal reference currents are obtained. Comprehensive simulation results for a real and highly nonlinear IPMSM clearly show these benefits of the proposed ANN-based OFTC approach compared to conventional OFTC strategies using LUT-based, numerical or analytical computation of the reference currents.

show abstract

Section: Introduction 1motivationmentioning

confidence: 99%