Abstract:
A method for estimating parameters of a DC machine by the least-squares method is performed by a computer system. The method includes establishing a transient model of the DC machine; expressing discrete values of the terminal voltage, the armature current and the rotational speed of the DC machine by the polynomial regression after the DC machine is started; obtaining estimated values of an armature resistance, an armature inductance and a back electromotive force constant by the least-squares method; calculating a torque based on the back electromotive force constant and the armature current; obtaining estimated values of a moment of inertia and a viscous friction coefficient by the least-squares method; and outputting the estimated values of the armature resistance, the armature inductance, the back electromotive force constant, the moment of inertia and the viscous friction coefficient. As such, the accuracy and reliability in estimating the parameters of the DC machine can be improved, achieving high computational efficiency and simplifying the operation procedure.
Abstract:
A method for estimating parameters of a direct current machine by Laplace transform performed by a computer system. The method includes establishing a transient model of the DC machine and a transfer function based on the transient mode; transforming the transfer function from the time domain to the frequency domain by the Laplace transform to obtain each of an armature current and a rotational speed of the DC machine as a function of frequency; expressing the armature current and the rotational speed as polynomial fractions by polynomial regression, and comparing the functions of the frequency and the polynomial fractions to output values of the armature resistance, the armature inductance, the back electromotive force constant, the moment of inertia and the friction coefficient. As such, the accuracy and operational efficiency in estimating the parameters of the DC machine can be improved.
Abstract:
A, a frequency-to-voltage converter including a calculation module, a quantification module and a signal processing module is disclosed. The calculation module receives a frequency signal and calculates a rotational speed signal according to the frequency signal. The quantification module is coupled with the calculation module and receives the rotational speed signal. The quantification module quantifies the rotational speed signal according to a quantification equation and generates a digital quantified signal. The signal processing module is coupled with the quantification module, receives the digital quantified signal, and converts the digital quantified signal into a digital voltage signal. As such, the proper transition time and ripple magnitude can be endured at the same time.
Abstract:
A device for monitoring synchronous signals of a motor includes a detection module and a processor. The detection module includes a rotational speed detector and an electric detector. The rotational speed detector is adapted to detect a rotational speed of a motor to generate a rotational speed signal. The electric detector is adapted to detect a current value and a voltage value between the motor and a power supply to generate a current signal and a voltage signal, respectively. The processor is electrically connected to the detection module to receive the rotational speed signal, the current signal, and the voltage signal. The processor generates an analysis result according to instant values of the rotational speed signal, the current signal, and the voltage signal at a same time point. The detection accuracy of the operating status of the motor is, thus, increased.
Abstract:
An electronic apparatus for establishing prediction model based on electroencephalogram (EEG). The electronic apparatus is configured for: acquiring an EEG signal segment related to an epilepsy patient; dividing each EEG signal into EEG components according to a predetermined window size; retrieving datasets corresponding to EEG features from the EEG components of each EEG signal segment; acquiring statistical feature values of each dataset of each EEG signal segment; determining a gain ratio of each of the statistical feature values of each EEG signal segment based on the statistical feature values corresponding to each of the EEG features; selecting specific statistical feature values from the statistical feature values according to the gain ratio of each of the statistical feature values of each EEG signal segment; establishing a prediction model based on the specific statistical feature values of the epilepsy patient.
Abstract:
An adjustment method of an atmos clock and a detection system performing the adjustment method are provided. The adjustment method includes detecting a magnetic field around a balance wheel of the atmos clock via a magnetic sensor, generating a measured signal, receiving the measured signal via a processing unit, and performing a clamping process on the measured signal. A clamping value is subtracted from the measured signal to generate a clamped signal. A zero value line crosses a waveform of the clamped signal to form a zero crossing point in each of the periods of swing motion of the balance wheel. The adjustment method further includes retrieving a time of the zero crossing point, calculating a time difference between the zero crossing points of two adjacent periods, calculating a length of the period according to the calculated time difference, and outputting the calculated length to an output device.
Abstract:
An oscillation control system includes an actuator, a sensor unit, and a control module. An actuator includes at least one piezoelectric material coupled with an electrode. The sensor unit is located on the actuator and is configured to detect an acceleration value of deformation of the actuator. A control module includes an operational unit and a gain unit. The operational unit generates an operational result according to the acceleration value and conditions of the actuator. The gain unit is coupled to the operational unit and the electrode and is configured to convert the operational result into a control signal which adjusts the actuator. An oscillation control method includes using a reciprocal state space system to proceed with closed-loop control of a state derivative feedback. The reciprocal state space system is represented by a plurality of equations.
Abstract:
A wireless power transmission system is provided. The wireless power transmission system includes a transmitting antenna and a receiving antenna. The transmitting antenna is coupled to a power source device, and the transmitting antenna is a Yagi-Uda antenna. The transmitting antenna receives a first power signal provided by the power source device and transmits a power radiation signal toward a first direction. The receiving antenna is coupled to a rectifier, the rectifier is coupled to a power receiver, and the receiving antenna is a Yagi-Uda antenna. The receiving antenna has a predetermined distance from the transmitting antenna. The receiving antenna receives the power radiation signal and converts the power radiation signal into a second power signal. The rectifier converts the second power signal into a third power signal and transmits the third power signal to the power receiver.
Abstract:
A method for determining parameter values of an induction machine. The method may be executed by a dedicated computer system. The method includes sampling a voltage signal, a current signal and a rotational speed signal of the induction machine at the time the induction machine is started, calculating a resistance and a reactance of the induction machine at each of a plurality of slip rates according to the voltage signal and the current signal, calculating a plurality of coefficients of a polynomial fraction based on the resistances and the reactances, calculating the parameter values of an equivalent circuit according to the plurality of coefficients of the polynomial fraction, calculating a moment of inertia and a friction coefficient of the induction machine according to the calculated parameter values and the rotational speed signal of the equivalent circuit, and outputting the moment of inertia and the friction coefficient of the induction machine.
Abstract:
A filter configuration including a substrate, a primary microstrip line and a first defected ground structure is disclosed. The substrate has a first face and a second face. The second face is a ground face. The primary microstrip line is arranged on the first face and extends in a first direction.The first defected ground structure is arranged on the second face. The first defected ground structure includes a first section, a first circular section, a second section, a second circular section and a third section that are connected to each other in sequence in a second direction perpendicular to the first direction. The second section is covered by the primary microstrip line in a vertical direction perpendicular to the first and second faces. The primary microstrip line has a width equal to a minimum length of the second section. As such, the filtering effect can be improved.