A5019641855- Sensorless Control of Electric Motors
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Iterative Learning Control Systems
- Adaptive Control of Nonlinear Systems
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Seismic Imaging and Inversion Techniques
- Control Systems in Engineering
- Fuzzy Logic and Control Systems
- Advanced Algorithms and Applications
- Hydrocarbon exploration and reservoir analysis
- Neural Networks and Applications
- Structural Load-Bearing Analysis
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Magnetic Bearings and Levitation Dynamics
- Hydraulic Fracturing and Reservoir Analysis
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Geotechnical Engineering and Soil Stabilization
- Structural Behavior of Reinforced Concrete
- Gas Sensing Nanomaterials and Sensors
- Advanced DC-DC Converters
- Power Systems and Renewable Energy
ABB (Sweden)
2025
Sun Yat-sen University
2018-2024
Xi'an University of Technology
2014-2024
Xi'an University of Science and Technology
2021-2024
State Intellectual Property Office
2024
Shanxi Agricultural University
2021-2024
Shanxi University
2024
Nanning Normal University
2024
Shijiazhuang Tiedao University
2017-2024
Georgia State University
2006-2022
Abstract Flexible dielectrics with large dielectric constant ( ε ′) coupled low loss are highly pursued in many applications. To bolster the ′ of raw Zn (zinc)/poly(vinylidene fluoride, PVDF) while maintaining pimping loss, this study, core@double–shell structured Zn@zinc carbonate (ZnCH)@polystyrene (PS) particles first synthesized through a suspension polymerization styrene, and then composited PVDF to elevate keep composites. By optimizing PS shells’ thickness tailoring electrical...
Well-defined olive-shaped Bi(2)S(3)/BiVO(4) microspheres were synthesized through a limited chemical conversion route (LCCR), where BiVO(4) and thioacetamide (TAA) used as precursors sulfur source, respectively. The as-synthesized products characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), high-resolution transmission microscope (HRTEM), photoelectron spectra (XPS), UV-visible diffuse-reflectance spectroscopy (UV-vis DRS), photoluminescence (PL)...
In recent days, deep learning technologies have achieved tremendous success in computer vision-related tasks with the help of large-scale annotated dataset. Obtaining such dataset for medical image analysis is very challenging. Working limited and small amount samples makes it difficult to develop a robust automated disease diagnosis model. We propose novel approach generate synthetic images using generative adversarial networks (GANs). Our proposed model can create brain PET three different...
To improve the performance of sensorless induction motor (IM) drives, an adaptive speed and flux estimation method based on multiple-model extended Kalman filter (EKF) with Markov chain for IMs is proposed in this paper. In algorithm, multiple model EKF established, transition models obeys value obtained by mixing outputs different weightings, calculation weighting researched. Simultaneously, probability can be continuously self-tuned residual sequence, prior information modified posterior...
A novel sliding mode observer (SMO) with optimized constant rate reaching law for speed estimation in sensorless induction motor drives is proposed this article to balance the dilemma between requirement of fast transient and chattering reduction on surface. By considering way surface, a widely used called (CRRL) introduced into SMO. However, SMO CRRL cannot satisfy rapidity performance low level simultaneously. To solve problem, an (OCRRL), which based options exponential term that adapts...
This paper proposes a real-time speed identification method by using symmetric strong tracking extended Kalman filter (SSTEKF) for induction motor sensorless drive. In SSTEKF, the residual sequences are forced orthogonal to each other, and gain matrix is tuned in introducing fading factors into covariance of predicted state. The modeling error reduced, mutational state tracked rapidly based on SSTEKF. Simultaneously, Cholesky triangular decomposition used change working way multiple factor...
The conventional model predictive torque control (MPTC) for induction motor drives evaluates the electromagnetic and stator flux linkage in cost function. However, speed outer loop design, reference function generally utilizes a classic proportional-integral (PI) controller, which is not only dependent on parameters but also sensitive to change of load torque. In this article, an adaptive sliding-mode-control-based MPTC (ASMC-MPTC) method proposed improve robustness finite set (FCS-MPC)....
To optimize the current-control performance of linear permanent magnet synchronous motor (LPMSM) drive system, a robust continuous time model-based predictive control for LPMSM systems is proposed in this article. Since current regulation technology fundamental obtaining precise thrust LPMSM, utilized loop to achieve fast dynamic response and accurate tracking accuracy. However, scheme, thus, model uncertainties parameter variations will influence accuracy stator current. solve problem, an...
Body sensor networks (BSNs) are emerging cyber–physical systems that promise to improve quality of life through improved healthcare, augmented sensing and actuation for the disabled, independent living elderly, reduced healthcare costs. However, physical nature BSNs introduces new challenges. The human body is a highly dynamic environment creates constantly changing demands on sensing, actuation, service (QoS). Movement between indoor outdoor environments movements change wireless channel...
Highly useful optically active 1-(1-alkynyl)cyclopropyl ketones can be efficiently obtained by the kinetic resolution of easily available racemic ones under catalysis chiral gold(I) species. Reaction scope and synthetic applications are also investigated.
The internal model control (IMC) has been widely attended for its simple structure and easy realization. Its performance a relationship with the filter time constant directly, so that application of high is influenced in motor drive system. A novel method two-degree-of-freedom (2DOF) IMC strategy induction motors (IMs) using immune algorithm (IA) proposed this paper. IA studied on basis response system realization analyzed. introduced into 2DOF IMC, adjustment online realized by taking full...
A speed and flux estimation method for induction motors (IMs) based on robust adaptive state observer is proposed in this paper as a modification of the observer. The effect gross errors accuracy analyzed. Whether can give better performance ability than traditional IMs discussed. Through simulation experiments, estimated error fluctuation by external disturbance internal compared with experimental results show that has antigross
A speed estimation method for induction motors (IMs) based on active disturbance rejection observer (ADRO) is proposed in this article, order to realize the sensor-less control of IMs. Benefit from antidisturbance mechanism ADRO, exogenous can be estimated instantaneously, so that ADRO accurately without knowledge exact system parameters. Meanwhile, copes with unmodeling dynamics as well uncertainties model parameters, it robust external disturbances and errors. including rotor information...
The advantage of a permanent magnet synchronous motor (PMSM) electrolytic capacitorless drives lies in its small volume and long service life, as dc-link uses capacitance film capacitors. However, during the regenerative braking process motor, capacitors are prone to cause overvoltage dc-link. PI regulators widely used traditional controllers. regulator depends on system model. As deceleration amplitude rate increase, voltage control loop gradually becomes unstable, which may lead failure...