This page has only limited features, please log in for full access.
For pulse width modulation (PWM) inverter drives, an LC filter can cascade to a permanent magnet (PM) machine at inverter output to reduce PWM-reflected current harmonics. Because the LC filter causes resonance, the filter output current and voltage are required for the sensorless field-oriented control (FOC) drive. However, existing sensors and inverters are typically integrated inside commercial closed-form drives; it is not possible for these drives to obtain additional filter output signals. To resolve this integration issue, this paper proposes a sensorless LC filter state estimation using only the drive inside current sensors. The design principle of the LC filter is first introduced to remove PWM current harmonics. A dual-observer is then proposed to estimate the filter output current and voltage for the sensorless FOC drive. Compared to conventional model-based estimation, the proposed dual-observer demonstrates robust estimation performance under parameter error. The capacitor parameter error shows a negligible influence on the proposed observer estimation. The filter inductance error only affects the capacitor current estimation at high speed. The performance of the sensorless FOC drive using the proposed dual-observer is comparable to the same drive using external sensors for filter voltage and current measurement. All experiments are verified by a PM machine with only 130 μH phase inductance.
Chia-Ming Liang; Yi-Jen Lin; Jyun-You Chen; Guan-Ren Chen; Shih-Chin Yang. Sensorless LC Filter Implementation for Permanent Magnet Machine Drive Using Observer-Based Voltage and Current Estimation. Sensors 2021, 21, 3596 .
AMA StyleChia-Ming Liang, Yi-Jen Lin, Jyun-You Chen, Guan-Ren Chen, Shih-Chin Yang. Sensorless LC Filter Implementation for Permanent Magnet Machine Drive Using Observer-Based Voltage and Current Estimation. Sensors. 2021; 21 (11):3596.
Chicago/Turabian StyleChia-Ming Liang; Yi-Jen Lin; Jyun-You Chen; Guan-Ren Chen; Shih-Chin Yang. 2021. "Sensorless LC Filter Implementation for Permanent Magnet Machine Drive Using Observer-Based Voltage and Current Estimation." Sensors 21, no. 11: 3596.
Different from the design of conventional permanent magnet (PM) motors, high-speed motors are primarily limited by rotor unbalanced radial forces, rotor power losses, and rotor mechanical strength. This paper aimed to propose a suitable PM motor with consideration of these design issues. First, the rotor radial force is minimized based on the selection of stator tooth numbers and windings. By designing a stator with even slots, the rotor radial force can be canceled, leading to better rotor strength at high speed. Second, rotor power losses proportional to rotor frequency are increased as motor speed increases. A two-dimensional sensitivity analysis is used to improve these losses. In addition, the rotor sleeve loss can be minimized to less than 8.3% of the total losses using slotless windings. Third, the trapezoidal drive can cause more than a 33% magnet loss due to additional armature flux harmonics. This drive reflected loss is also mitigated with slotless windings. In this paper, six PM motors with different tooth numbers, stator cores, and winding layouts are compared. All the design methods are verified based on nonlinear finite element analysis (FEA).
Nai-Wen Liu; Kuo-Yuan Hung; Shih-Chin Yang; Feng-Chi Lee; Chia-Jung Liu. Design of High-Speed Permanent Magnet Motor Considering Rotor Radial Force and Motor Losses. Energies 2020, 13, 5872 .
AMA StyleNai-Wen Liu, Kuo-Yuan Hung, Shih-Chin Yang, Feng-Chi Lee, Chia-Jung Liu. Design of High-Speed Permanent Magnet Motor Considering Rotor Radial Force and Motor Losses. Energies. 2020; 13 (22):5872.
Chicago/Turabian StyleNai-Wen Liu; Kuo-Yuan Hung; Shih-Chin Yang; Feng-Chi Lee; Chia-Jung Liu. 2020. "Design of High-Speed Permanent Magnet Motor Considering Rotor Radial Force and Motor Losses." Energies 13, no. 22: 5872.
This paper improves the sensorless brushless DC (BLDC) motor drives using the pulse amplitude modulation (PAM) with DC current sensing. Comparing to conventional BLDC drives using pulse width modulation (PWM), PAM BLDC drives result in better drive efficiency especially at low speed. However due to six-step commutation, additional position detection issues are resultant for sensorless operation. They consist of voltage spike at low speed and commutation delay at high speed. In this paper, these BLDC position detection issues are improved based on the proposed continuous position estimation. At low speed, the commutation compensation with DC current sensing is developed to minimize the influence of voltage spike. At high speed, several voltage compensation schemes are applied to improve the commutation delay and maximizing high speed operation region. A 320W permanent magnet (PM) motor prototype is used for the experimental verification of proposed PAM BLDC drive. Comparing to conventional BLDC drives, the PAM drive with proposed positon estimation demonstrates the improvement on both low speed dynamic response and high speed steady state stability.
Ching-Lon Huang; Chi-Jun Wu; Shih-Chin Yang. Full-Region Sensorless BLDC Drive for Permanent Magnet Motor Using Pulse Amplitude Modulation With DC Current Sensing. IEEE Transactions on Industrial Electronics 2020, 68, 11234 -11244.
AMA StyleChing-Lon Huang, Chi-Jun Wu, Shih-Chin Yang. Full-Region Sensorless BLDC Drive for Permanent Magnet Motor Using Pulse Amplitude Modulation With DC Current Sensing. IEEE Transactions on Industrial Electronics. 2020; 68 (11):11234-11244.
Chicago/Turabian StyleChing-Lon Huang; Chi-Jun Wu; Shih-Chin Yang. 2020. "Full-Region Sensorless BLDC Drive for Permanent Magnet Motor Using Pulse Amplitude Modulation With DC Current Sensing." IEEE Transactions on Industrial Electronics 68, no. 11: 11234-11244.
Po-Huan Chou; Yu-Liang Hsu; Shih-Chin Yang; Hsing-Cheng Chang; Yu-Chen Kuo; Li-Feng Chiu; Yu-Tai Chen. Vibration Measurement and Suppression for Laser Galvanometers Using a Micro-electromechanical System-based Accelerometer. Sensors and Materials 2018, 30, 2401 .
AMA StylePo-Huan Chou, Yu-Liang Hsu, Shih-Chin Yang, Hsing-Cheng Chang, Yu-Chen Kuo, Li-Feng Chiu, Yu-Tai Chen. Vibration Measurement and Suppression for Laser Galvanometers Using a Micro-electromechanical System-based Accelerometer. Sensors and Materials. 2018; 30 (11):2401.
Chicago/Turabian StylePo-Huan Chou; Yu-Liang Hsu; Shih-Chin Yang; Hsing-Cheng Chang; Yu-Chen Kuo; Li-Feng Chiu; Yu-Tai Chen. 2018. "Vibration Measurement and Suppression for Laser Galvanometers Using a Micro-electromechanical System-based Accelerometer." Sensors and Materials 30, no. 11: 2401.
This paper improves a permanent magnet (PM) machine saliency-based drive performance based on the selection of a suitable injection signal. For the saliency-based position estimation, a persistently high-frequency (HF) voltage signal is injected to obtain a measurable spatial saliency feedback signal. The injection signal can be sine-wave or square-wave alternating current (AC) voltage manipulated by the inverter’s pulse width modulation (PWM). Due to the PWM dead-time effect, these HF voltage injection signals might be distorted, leading to secondary harmonics on the saliency signal. In addition, the flux saturation in machine rotors also results in other saliency harmonics. These nonlinear attributes cause position estimation errors on saliency-based drives. In this paper, two different voltage signals are analyzed to find a suited voltage which is less sensitive to these nonlinear attributes. Considering the inverter dead-time, a sine-wave voltage signal reduces its influence on the saliency signal. By contrast, the flux saturation causes the same amount of error on two injection signals. Analytical equations are developed to investigate position errors caused by the dead-time and flux saturation. An interior PM machine with the saliency ratio of 1.41 is tested for the experimental verification.
Jyun-You Chen; Shih-Chin Yang; Kai-Hsiang Tu. Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection. Energies 2018, 11, 2189 .
AMA StyleJyun-You Chen, Shih-Chin Yang, Kai-Hsiang Tu. Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection. Energies. 2018; 11 (9):2189.
Chicago/Turabian StyleJyun-You Chen; Shih-Chin Yang; Kai-Hsiang Tu. 2018. "Comparative Evaluation of a Permanent Magnet Machine Saliency-Based Drive with Sine-Wave and Square-Wave Voltage Injection." Energies 11, no. 9: 2189.
In conventional position sensorless permanent magnet (PM) machine drives, the rotor position is obtained from the phase-locked loop (PLL) with the regulation of spatial signal in estimated back electromotive force (EMF) voltages. Due to the sinusoidal distribution of back-EMF voltages, a small-signal approximation is assumed in the PLL in order to estimate the position. That is, the estimated position is almost equal to the actual position per sample instant. However, at high speed when the ratio of sampling frequency, fsample, over the rotor operating frequency, fe, is low, this approximation might not be valid during the speed and load transient. To overcome this limitation, a position estimation is proposed specifically for the high-speed operation of a PM machine drive. A discrete-time EMF voltage estimator is developed to obtain the machine spatial signal. In addition, an arctangent calculation is cascaded to the PLL in order to remove this small-signal approximation for better sensorless drive performance. By using the discrete-time EMF estimation and modified PLL, the drive is able to maintain the speed closed-loop at 36 krpm with only 4.2 sampling points per electrical cycle on a PM machine, according to experimental results.
Guan-Ren Chen; Shih-Chin Yang; Yu-Liang Hsu; Kang Li. Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop. Energies 2017, 10, 1571 .
AMA StyleGuan-Ren Chen, Shih-Chin Yang, Yu-Liang Hsu, Kang Li. Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop. Energies. 2017; 10 (10):1571.
Chicago/Turabian StyleGuan-Ren Chen; Shih-Chin Yang; Yu-Liang Hsu; Kang Li. 2017. "Position and Speed Estimation of Permanent Magnet Machine Sensorless Drive at High Speed Using an Improved Phase-Locked Loop." Energies 10, no. 10: 1571.
Conventional permanent magnet (PM) machine open-phase fault detection relies on the estimation of current harmonics using available phase current sensors. Because the magnitudes of current harmonic are proportional to the machine load condition, it is still a challenge to detect a phase fault at light load when fault-induced current harmonics are too small to estimate. This paper investigates the phase fault detection specifically for the conditions under low fault harmonic magnitudes. Both fault-induced harmonics in dq currents and neutral point (NP) voltage are analyzed to find a suited signal for the fault detection. By adding a voltage sensor to measure the NP voltage in a PM machine, a better fault detection performance is achieved because the fault harmonic in NP voltage results in the reduced effect on torque loads and sensor measurement errors. A 50-W PM machine is tested to verify the phase fault detection performance under low fault harmonic magnitudes. This paper includes the experimental evaluation on the detection limitation in terms of load capability using current and voltage fault signals.
Shih-Chin Yang; Yu-Liang Hsu; Po-Huan Chou; Guan-Ren Chen; Da-Ren Jian. Online Open-Phase Fault Detection for Permanent Magnet Machines With Low Fault Harmonic Magnitudes. IEEE Transactions on Industrial Electronics 2017, 65, 4039 -4050.
AMA StyleShih-Chin Yang, Yu-Liang Hsu, Po-Huan Chou, Guan-Ren Chen, Da-Ren Jian. Online Open-Phase Fault Detection for Permanent Magnet Machines With Low Fault Harmonic Magnitudes. IEEE Transactions on Industrial Electronics. 2017; 65 (5):4039-4050.
Chicago/Turabian StyleShih-Chin Yang; Yu-Liang Hsu; Po-Huan Chou; Guan-Ren Chen; Da-Ren Jian. 2017. "Online Open-Phase Fault Detection for Permanent Magnet Machines With Low Fault Harmonic Magnitudes." IEEE Transactions on Industrial Electronics 65, no. 5: 4039-4050.
This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents’ wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident’s feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment.
Yu-Liang Hsu; Po-Huan Chou; Hsing-Cheng Chang; Shyan-Lung Lin; Shih-Chin Yang; Heng-Yi Su; Chih-Chien Chang; Yuan-Sheng Cheng; Yu-Chen Kuo. Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology. Sensors 2017, 17, 1631 .
AMA StyleYu-Liang Hsu, Po-Huan Chou, Hsing-Cheng Chang, Shyan-Lung Lin, Shih-Chin Yang, Heng-Yi Su, Chih-Chien Chang, Yuan-Sheng Cheng, Yu-Chen Kuo. Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology. Sensors. 2017; 17 (7):1631.
Chicago/Turabian StyleYu-Liang Hsu; Po-Huan Chou; Hsing-Cheng Chang; Shyan-Lung Lin; Shih-Chin Yang; Heng-Yi Su; Chih-Chien Chang; Yuan-Sheng Cheng; Yu-Chen Kuo. 2017. "Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology." Sensors 17, no. 7: 1631.