Niklas Monzen
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View article: Optimal reference voltage saturation for nonlinear current control of synchronous machine drives
Optimal reference voltage saturation for nonlinear current control of synchronous machine drives Open
An optimal reference voltage saturation (ORVS) for nonlinear current control of synchronous machine drives is presented. It is integrated into a nonlinear current control system based on input/output (I/O) linearization and proportional-in…
View article: Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines
Multiobjective Hyperparameter Optimization of Artificial Neural Networks for Optimal Feedforward Torque Control of Synchronous Machines Open
Multiobjective hyperparameter optimization is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to systematically…
View article: Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines
Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines Open
Multi-objective hyperparameter optimization (MO-HPO) is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to syst…
View article: Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines
Multi-objective hyperparameter optimization of artificial neural networks for optimal feedforward torque control of synchronous machines Open
Multi-objective hyperparameter optimization (MO-HPO) is applied to find optimal artificial neural network (ANN) architectures used for optimal feedforward torque control (OFTC) of synchronous machines. The proposed framework allows to syst…
View article: Self-Identfication of Reluctance Synchronous Machines with Analytical Flux Linkage Prototype Functions
Self-Identfication of Reluctance Synchronous Machines with Analytical Flux Linkage Prototype Functions Open
This paper presents a self-identification approach for reluctance synchronous machines (RSMs) in combination with analytical flux linkage prototype functions. Due to the severe magnetic saturation, good machine knowledge is required for hi…
View article: Self-Identfication of Reluctance Synchronous Machines with Analytical Flux Linkage Prototype Functions
Self-Identfication of Reluctance Synchronous Machines with Analytical Flux Linkage Prototype Functions Open
This paper presents a self-identification approach for reluctance synchronous machines (RSMs) in combination with analytical flux linkage prototype functions. Due to the severe magnetic saturation, good machine knowledge is required for hi…
View article: Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines
Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines Open
An Artificial Neural Network (ANN) based Optimal Feedforward Torque Control (OFTC) strategy for electrically excited synchronous machines (EESMs) is proposed. After design, data set creation, training and validation of the ANN, the analyti…
View article: A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines
A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines Open
Synchronous machines (SMs) like reluctance synchronous machines (RSMs) or interior permanent magnet synchronous machines (IPMSMs) are characterized by nonlinear stator flux linkages which are crucial for optimal control and operation manag…
View article: Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation
Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation Open
Reluctance synchronous machines (RSMs) are characterized by high nonlinearities, cross-coupling effects and high torque ripple. This paper presents a nonlinear machine model of three-phase RSMs based on a nonlinear electromagnetic model in…
View article: A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines
A simple disturbance observer for stator flux linkage estimation of nonlinear synchronous machines Open
Synchronous machines (SMs) like reluctance synchronous machines (RSMs) or interior permanent magnet synchronous machines (IPMSMs) are characterized by nonlinear stator flux linkages which are crucial for optimal control and operation manag…
View article: Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines
Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines Open
An Artificial Neural Network (ANN) based Optimal Feedforward Torque Control (OFTC) strategy for electrically excited synchronous machines (EESMs) is proposed. After design, data set creation, training and validation of the ANN, the analyti…
View article: Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation
Nonlinear Three-Phase Reluctance Synchronous Machine Modeling With Extended Torque Equation Open
Reluctance synchronous machines (RSMs) are characterized by high nonlinearities, cross-coupling effects and high torque ripple. This paper presents a nonlinear machine model of three-phase RSMs based on a nonlinear electromagnetic model in…
View article: 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
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 Open
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…
View article: Generic loss minimization for nonlinear synchronous machines by analytical computation of optimal reference currents considering copper and iron losses
Generic loss minimization for nonlinear synchronous machines by analytical computation of optimal reference currents considering copper and iron losses Open
The unified theory (introduced in [1]), which allowsto analytically solve the optimal feedforward torque control(OFTC) problem of anisotropic synchronous machines (SM),is extended by considering all relevant machine nonlinearitiesand coppe…
View article: Generic loss minimization for nonlinear synchronous machines by analytical computation of optimal reference currents considering copper and iron losses
Generic loss minimization for nonlinear synchronous machines by analytical computation of optimal reference currents considering copper and iron losses Open
The unified theory (introduced in [1]), which allowsto analytically solve the optimal feedforward torque control(OFTC) problem of anisotropic synchronous machines (SM),is extended by considering all relevant machine nonlinearitiesand coppe…