The present invention relates to a method of determining the magnetic flux φ of an electric machine, based on measurements (MES) of currents and voltages in the phases of the electric machine, on a dynamic model (MOD) of the magnetic flux and on an adaptive Kalman filter (KAL).

The present invention relates to a method of determining the magnetic flux φ of an electric machine, based on measurements (MES) of currents and voltages in the phases of the electric machine, on a dynamic model (MOD) of the magnetic flux and on an adaptive Kalman filter (KAL).

A controller includes: a connection switch that switches a connection state of a winding of a synchronous motor during a rotating operation of the synchronous motor; a current detector that detects a rotary machine current flowing in the synchronous motor; a position/speed estimator that estimates a magnetic pole position and speed of a rotor; a voltage applicator that applies a voltage to the synchronous motor; and a control circuitry that generates a voltage command given to the voltage applicator on the basis of the magnetic pole position and the speed, and outputs a switching operation command for switching the connection state to the connection switch. The control circuitry generates the voltage command to bring the rotary machine current close to zero before the connection state of the winding is switched.

The invention relates to a method (400) for regulating an electric machine (190), comprising at least one first filter (140) and at least one second filter (142, 144). The method has the steps of: ascertaining (410) a feedback variable (Idq); filtering (412) a specifiable GW matching variable (Idq*); ascertaining (414) the filtered feedback variable without fundamental components (IdqWo-Funda); filtering (416) the filtered feedback variable without fundamental components (IdqWo-Funda); ascertaining (418) a filtered feedback variable without harmonic components (IdqFunda); and energizing (480) at least one winding of the electric machine (190) on the basis of the filtered feedback variable without harmonic components (IdqFunda).

The invention relates to a method (400) for regulating an electric machine (190), comprising at least one first filter (140) and at least one second filter (142, 144). The method has the steps of: ascertaining (410) a feedback variable (Idq); filtering (412) a specifiable GW matching variable (Idq*); ascertaining (414) the filtered feedback variable without fundamental components (IdqWo-Funda); filtering (416) the filtered feedback variable without fundamental components (IdqWo-Funda); ascertaining (418) a filtered feedback variable without harmonic components (IdqFunda); and energizing (480) at least one winding of the electric machine (190) on the basis of the filtered feedback variable without harmonic components (IdqFunda).

A controller for a motor system includes an input terminal to receive a signal indicating a speed of an electric motor and a regenerative brake current interpolator to indicate a brake current to be applied to the electric motor responsive to the speed of the electric motor. Values of the brake current vary with variation of the speed of the electric motor.

A controller for a motor system includes an input terminal to receive a signal indicating a speed of an electric motor and a regenerative brake current interpolator to indicate a brake current to be applied to the electric motor responsive to the speed of the electric motor. Values of the brake current vary with variation of the speed of the electric motor.

A machine learning apparatus for learning a correction parameter used in correction of a command value that controls a motor in a motor drive system including a plurality of kinds of correction functions includes: a state observation unit that observes, as a state variable, each of a feature calculated on the basis of drive data and the kind of any of the correction functions of the motor drive system and the correction parameter; and a learning unit that learns the correction parameter for each of the correction functions according to a training data set created on the basis of the state variable.

Apparatus and methods for controlling electric motors are disclosed. In addition, such apparatus and methods for starting and controlling electric motors and controlling electric motors switching from a PWM control to six step method of control. Methods and apparatus are further included to provide for robust control of an electric motor operating in a six-step running mode.

A decoupling control system for a salient pole synchronous motor that includes a harmonic current detection module, configured to acquire 6k±1 harmonic current feedback; a linear transformation module, configured to perform linear transformation on 6k±1 harmonic current references and 6k±1 harmonic current feedback in a harmonic reference frame separately to acquire new harmonic currents; and a harmonic current decoupling control module, configured to make adjustment according to an error between a harmonic current reference subjected to the linear transformation and harmonic current feedback subjected to the linear transformation, and perform independent decoupling control over each of the harmonic currents.