A control system for an electric motor circuit comprises a current controller which produces a set of idealised voltage demands for the motor circuit, an observer which observes the inputs to the motor circuit and the outputs of the motor circuit and which generates from the observations estimates of the voltage disturbances within the motor circuit, the observer being arranged in use to output a first correction signal indicative of the voltage disturbances in the motor circuit, a feed-forward controller which receives as an input a measurement or estimate of the current flowing in the motor and calculates from the input a second correction signal. The first correction signal output from the observer and the second correction signal output from the feedforward controller are combined with the idealised voltage demands output from the controller to provide a set of modified voltages demands that are fed to the motor.

A control system for an electric motor circuit comprises a current controller which produces a set of idealised voltage demands for the motor circuit, an observer which observes the inputs to the motor circuit and the outputs of the motor circuit and which generates from the observations estimates of the voltage disturbances within the motor circuit, the observer being arranged in use to output a first correction signal indicative of the voltage disturbances in the motor circuit, a feed-forward controller which receives as an input a measurement or estimate of the current flowing in the motor and calculates from the input a second correction signal. The first correction signal output from the observer and the second correction signal output from the feedforward controller are combined with the idealised voltage demands output from the controller to provide a set of modified voltages demands that are fed to the motor.

An electric power steering apparatus of a vector control system converts calculated dq-axes current command values into 3-phase duty command values, driving-controls a 3-phase brushless motor by an inverter of a PWM control, and applies an assist torque to a steering system of a vehicle, wherein compensation signs of 3-phase current model command values in which the dq-axes current command values are converted into a 3-phase current command value model are estimated, wherein a dead time compensation amount is calculated based on an inverter-applying voltage, and wherein dead time compensation is performed by adding dead time compensation values that are 2-phase values converted from 3-phase values in which the compensation signs are multiplied with the dead time compensation amount, to dq-axes voltage command values, or by adding 3-phase dead time compensation values to 3-phase voltage command values.

A control method of a motor rotation speed may include calculating a q-axis potential difference of a synchronous coordinate system for controlling a q-axis current of the synchronous coordinate system based on a target rotation speed of a motor and a measured rotation speed value of the speed sensor, calculating a voltage command of the synchronous coordinate system based on the calculated q-axis potential difference of the synchronous coordinate system, and controlling an inverter connected to the motor according to the calculated voltage command of the synchronous coordinate system.

A machine learning device is configured to perform machine learning with respect to a servo motor control device including a non-linear friction compensator that creates a compensation value with respect to non-linear friction on the basis of a position command, the machine learning device including: a state information acquisition unit configured to acquire state information including a servo state including position error, and combination of compensation coefficients of the non-linear friction compensation unit, by causing the servo motor control device to execute a predetermined program; an action information output unit configured to output action information including adjustment information of the combination of compensation coefficients; a reward output unit configured to output a reward value in reinforcement learning, based on the position error; and a value function updating unit configured to update an action value function on the basis of the reward value, the state information, and the action information.

A machine learning device is configured to perform machine learning with respect to a servo motor control device including a non-linear friction compensator that creates a compensation value with respect to non-linear friction on the basis of a position command, the machine learning device including: a state information acquisition unit configured to acquire state information including a servo state including position error, and combination of compensation coefficients of the non-linear friction compensation unit, by causing the servo motor control device to execute a predetermined program; an action information output unit configured to output action information including adjustment information of the combination of compensation coefficients; a reward output unit configured to output a reward value in reinforcement learning, based on the position error; and a value function updating unit configured to update an action value function on the basis of the reward value, the state information, and the action information.

A system for detecting and eliminating harmonic effects in the DQ plane of the non-sinusoidal back EMF voltages is provided. The system is a field oriented controller (FOC) that includes a poly-phase electric machine, proportional-integral-derivative controllers and a microcontroller. The microcontroller not only analyzes a stator current but analyzes a back electromotive force (BEMF) voltages to extract flux vectors of the EMF. These vectors have distortions as a result of the geometries and saturation effects inherent in the electrical machine. Therefore, the microcontroller corrects these defects by transmitting the BEMF vectors and the machine operating points, including the current rotational speed and current, into the algorithm, which in turn develops a command voltage in the DQ frame for the specific operating point. This command voltage is inserted into the control output of the current PI controller so to prevents the non-sinusoidal back EMF voltages from generating non-sinusoidal currents.

A system for detecting and eliminating harmonic effects in the DQ plane of the non-sinusoidal back EMF voltages is provided. The system is a field oriented controller (FOC) that includes a poly-phase electric machine, proportional-integral-derivative controllers and a microcontroller. The microcontroller not only analyzes a stator current but analyzes a back electromotive force (BEMF) voltages to extract flux vectors of the EMF. These vectors have distortions as a result of the geometries and saturation effects inherent in the electrical machine. Therefore, the microcontroller corrects these defects by transmitting the BEMF vectors and the machine operating points, including the current rotational speed and current, into the algorithm, which in turn develops a command voltage in the DQ frame for the specific operating point. This command voltage is inserted into the control output of the current PI controller so to prevents the non-sinusoidal back EMF voltages from generating non-sinusoidal currents.

An electric power steering apparatus of a vector control system converts calculated dq-axes current command values into 3-phase duty command values, driving-controls a 3-phase brushless motor by an inverter of a PWM control, and applies an assist torque to a steering system of a vehicle, wherein compensation signs of 3-phase current model command values in which the dq-axes current command values are converted into a 3-phase current command value model are estimated, wherein a dead time compensation amount is calculated based on an inverter-applying voltage, and wherein dead time compensation is performed by adding dead time compensation values that are 2-phase values converted from 3-phase values in which the compensation signs are multiplied with the dead time compensation amount, to dq-axes voltage command values, or by adding 3-phase dead time compensation values to 3-phase voltage command values.

A method for controlling a hybrid vehicle includes: determining, by a controller, an operation mode of the hybrid vehicle based on operation state information of the hybrid vehicle; and controlling, by the controller, a first drive motor included in the hybrid vehicle based on angle information of a second drive motor of the hybrid vehicle provided by an angle sensor of the second drive motor when the operation mode of the hybrid vehicle is a hybrid electric vehicle mode. The hybrid electric vehicle mode is an operation mode in which an engine of the hybrid vehicle, the first drive motor, and the second drive motor drive the hybrid vehicle.