The Experts below are selected from a list of 17412 Experts worldwide ranked by ideXlab platform
Tony Huang - One of the best experts on this subject based on the ideXlab platform.
-
design and implementation of a hard disk drive servo system using robust and perfect tracking approach
IEEE Transactions on Control Systems and Technology, 2001Co-Authors: Zhongming Li, Ben M Chen, Tony HuangAbstract:This paper deals with the problem of a servo system design for a conventional hard disk drive with a single voice-coil-motor actuator using a so-called robust and perfect tracking (RPT) approach. We first model the physical system and then formulate it into a robust and perfect tracking problem, in which a measurement feedback controller can be obtained to achieve a robust and perfect tracking for any step reference, i.e., the L/sub p/-norm of the resulting tracking error with 1/spl les/pHardware Setup. The implementation results of the RPT controller are compared with those of a proportional integral derivative (PID) controller. The results show that the servo system with our RPT controller has much better performance than the PID. Our servo system has faster settling time, lower overshoot and higher accuracy.
-
design and implementation of a hard disk drive servo system using robust and perfect tracking approach
Conference on Decision and Control, 1999Co-Authors: T B Goh, Zhongming Li, Ben M Chen, Tong Heng Lee, Tony HuangAbstract:We tackle the problem of a servo system design for a conventional hard disk drive with a single voice-coil-motor (VCM) actuator using the so-called robust and perfect tracking (RPT) approach. We first model the physical system and then formulate it into a robust and perfect tracking problem, in which a measurement feedback controller can be obtained to achieve a robust and perfect tracking for any step reference in the presence of external disturbances and arbitrarily initial conditions. Some trade-offs are then made in order for the RPT controller to be implementable using existing Hardware Setup. The implementation results of the RPT controller are compared with those of a PID controller. The results show that the servo system with our RPT controller has much better performances than the PID one has. It has faster settling time, lower overshoots and higher accuracy.
Alex Q Huang - One of the best experts on this subject based on the ideXlab platform.
-
a high efficiency flyback micro inverter with a new adaptive snubber for photovoltaic applications
IEEE Transactions on Power Electronics, 2016Co-Authors: Mohammad Ali Rezaei, Kuijun Lee, Alex Q HuangAbstract:Based on the hybrid operation of interleaved flyback micro-inverter in discontinuous and boundary conduction modes (DCM and BCM), a novel adaptive snubber is proposed in this paper. The proposed snubber limits the drain-to-source voltage overshoot of the flyback's main switch during the turn-off process, enabling the use of lower voltage MOSFETs. It also recovers the stored energy in the leakage inductance of the flyback transformer and provides soft switching for the main flyback switch by limiting the rising slope of the MOSFET voltage during the turn-off process resulting in higher efficiency. Exploiting the natural resonant of the flyback converter in BCM, the adopted controller provides ZVS and ZCS for the main switch during the BCM operation. The operation of the flyback micro-inverter with associated controllers is analytically studied, and considerations for an optimum design aiming to higher efficiency are presented. Performance of the flyback micro-inverter with the proposed adaptive snubber and the corresponding controllers is experimentally verified based on a 250W interleaved flyback micro-inverter Hardware Setup.
-
a high efficiency flyback micro inverter with a new adaptive snubber for photovoltaic applications
European Conference on Cognitive Ergonomics, 2015Co-Authors: Mohammad Ali Rezaei, Kuijun Lee, Alex Q HuangAbstract:Based on the hybrid operation of interleaved flyback micro-inverter in Discontinuous and Boundary Conduction Modes (DCM and BCM), a novel adaptive snubber is proposed in this paper. The proposed snubber limits the drain-to-source voltage overshoot of the flyback's main switch during the turn-off process, enabling the use of lower voltage MOSFETs. It also recovers the stored energy in the leakage inductance of the flyback transformer and provides soft switching for the main flyback switch by limiting the rising slope of the MOSFET voltage during the turn off process resulting in higher efficiency. Exploiting the natural resonant of the flyback converter in BCM the adopted controller provides ZVS and ZCS for the main switch during the BCM operation. The operation of the flyback micro-inverter with associated controllers is analytically studied, and considerations for an optimum design aiming to higher efficiency are presented. Performance of the flyback micro-inverter with the proposed adaptive snubber and the corresponding controllers are experimentally verified based on a 250W interleaved flyback micro-inverter Hardware Setup.
Otmar Hilliges - One of the best experts on this subject based on the ideXlab platform.
-
eth xgaze a large scale dataset for gaze estimation under extreme head pose and gaze variation
European Conference on Computer Vision, 2020Co-Authors: Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang, Otmar HilligesAbstract:Gaze estimation is a fundamental task in many applications of computer vision, human computer interaction and robotics. Many state-of-the-art methods are trained and tested on custom datasets, making comparison across methods challenging. Furthermore, existing gaze estimation datasets have limited head pose and gaze variations, and the evaluations are conducted using different protocols and metrics. In this paper, we propose a new gaze estimation dataset called ETH-XGaze, consisting of over one million high-resolution images of varying gaze under extreme head poses. We collect this dataset from 110 participants with a custom Hardware Setup including 18 digital SLR cameras and adjustable illumination conditions, and a calibrated system to record ground truth gaze targets. We show that our dataset can significantly improve the robustness of gaze estimation methods across different head poses and gaze angles. Additionally, we define a standardized experimental protocol and evaluation metric on ETH-XGaze, to better unify gaze estimation research going forward. The dataset and benchmark website are available at https://ait.ethz.ch/projects/2020/ETH-XGaze.
-
eth xgaze a large scale dataset for gaze estimation under extreme head pose and gaze variation
arXiv: Computer Vision and Pattern Recognition, 2020Co-Authors: Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang, Otmar HilligesAbstract:Gaze estimation is a fundamental task in many applications of computer vision, human computer interaction and robotics. Many state-of-the-art methods are trained and tested on custom datasets, making comparison across methods challenging. Furthermore, existing gaze estimation datasets have limited head pose and gaze variations, and the evaluations are conducted using different protocols and metrics. In this paper, we propose a new gaze estimation dataset called ETH-XGaze, consisting of over one million high-resolution images of varying gaze under extreme head poses. We collect this dataset from 110 participants with a custom Hardware Setup including 18 digital SLR cameras and adjustable illumination conditions, and a calibrated system to record ground truth gaze targets. We show that our dataset can significantly improve the robustness of gaze estimation methods across different head poses and gaze angles. Additionally, we define a standardized experimental protocol and evaluation metric on ETH-XGaze, to better unify gaze estimation research going forward. The dataset and benchmark website are available at this https URL
Zhongming Li - One of the best experts on this subject based on the ideXlab platform.
-
design and implementation of a hard disk drive servo system using robust and perfect tracking approach
IEEE Transactions on Control Systems and Technology, 2001Co-Authors: Zhongming Li, Ben M Chen, Tony HuangAbstract:This paper deals with the problem of a servo system design for a conventional hard disk drive with a single voice-coil-motor actuator using a so-called robust and perfect tracking (RPT) approach. We first model the physical system and then formulate it into a robust and perfect tracking problem, in which a measurement feedback controller can be obtained to achieve a robust and perfect tracking for any step reference, i.e., the L/sub p/-norm of the resulting tracking error with 1/spl les/pHardware Setup. The implementation results of the RPT controller are compared with those of a proportional integral derivative (PID) controller. The results show that the servo system with our RPT controller has much better performance than the PID. Our servo system has faster settling time, lower overshoot and higher accuracy.
-
design and implementation of a hard disk drive servo system using robust and perfect tracking approach
Conference on Decision and Control, 1999Co-Authors: T B Goh, Zhongming Li, Ben M Chen, Tong Heng Lee, Tony HuangAbstract:We tackle the problem of a servo system design for a conventional hard disk drive with a single voice-coil-motor (VCM) actuator using the so-called robust and perfect tracking (RPT) approach. We first model the physical system and then formulate it into a robust and perfect tracking problem, in which a measurement feedback controller can be obtained to achieve a robust and perfect tracking for any step reference in the presence of external disturbances and arbitrarily initial conditions. Some trade-offs are then made in order for the RPT controller to be implementable using existing Hardware Setup. The implementation results of the RPT controller are compared with those of a PID controller. The results show that the servo system with our RPT controller has much better performances than the PID one has. It has faster settling time, lower overshoots and higher accuracy.
Mohammad Ali Rezaei - One of the best experts on this subject based on the ideXlab platform.
-
a high efficiency flyback micro inverter with a new adaptive snubber for photovoltaic applications
IEEE Transactions on Power Electronics, 2016Co-Authors: Mohammad Ali Rezaei, Kuijun Lee, Alex Q HuangAbstract:Based on the hybrid operation of interleaved flyback micro-inverter in discontinuous and boundary conduction modes (DCM and BCM), a novel adaptive snubber is proposed in this paper. The proposed snubber limits the drain-to-source voltage overshoot of the flyback's main switch during the turn-off process, enabling the use of lower voltage MOSFETs. It also recovers the stored energy in the leakage inductance of the flyback transformer and provides soft switching for the main flyback switch by limiting the rising slope of the MOSFET voltage during the turn-off process resulting in higher efficiency. Exploiting the natural resonant of the flyback converter in BCM, the adopted controller provides ZVS and ZCS for the main switch during the BCM operation. The operation of the flyback micro-inverter with associated controllers is analytically studied, and considerations for an optimum design aiming to higher efficiency are presented. Performance of the flyback micro-inverter with the proposed adaptive snubber and the corresponding controllers is experimentally verified based on a 250W interleaved flyback micro-inverter Hardware Setup.
-
a high efficiency flyback micro inverter with a new adaptive snubber for photovoltaic applications
European Conference on Cognitive Ergonomics, 2015Co-Authors: Mohammad Ali Rezaei, Kuijun Lee, Alex Q HuangAbstract:Based on the hybrid operation of interleaved flyback micro-inverter in Discontinuous and Boundary Conduction Modes (DCM and BCM), a novel adaptive snubber is proposed in this paper. The proposed snubber limits the drain-to-source voltage overshoot of the flyback's main switch during the turn-off process, enabling the use of lower voltage MOSFETs. It also recovers the stored energy in the leakage inductance of the flyback transformer and provides soft switching for the main flyback switch by limiting the rising slope of the MOSFET voltage during the turn off process resulting in higher efficiency. Exploiting the natural resonant of the flyback converter in BCM the adopted controller provides ZVS and ZCS for the main switch during the BCM operation. The operation of the flyback micro-inverter with associated controllers is analytically studied, and considerations for an optimum design aiming to higher efficiency are presented. Performance of the flyback micro-inverter with the proposed adaptive snubber and the corresponding controllers are experimentally verified based on a 250W interleaved flyback micro-inverter Hardware Setup.
