A Comparative Analysis of Molecular Diversity and Population Structure of Hemarthria compressa (whipgrass) in South China Using ISSR and SRAP markers

Linkai Huang,Xinquan Zhang,Surong Shuai,Fang Li 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08

Genetic variation within and among 12 populations of whip grass in south China were investigated using inter-simple sequence repeat (ISSR) and sequence-related amplified polymorphism (SRAP). High genetic diversity was found in whipgrass by two molecular makers (PPB=86.21%, I=0.357 based on ISSR; PPB=82.21%, I=0.352 based on SRAP). However, there was relatively low genetic diversity at population levels. A high degree of genetic differentiation among populations was detected based on different measures and different molecular markers. We also found that SRAP markers were more efficient than ISSR markers in this species. Based on these findings, sampling strategy was proposed for successfully utilizing the genetic resource of this species.

Influence of Core Stress on Performance of Permanent Magnet Synchronous Motor

Haidong Cao,Surong Huang,Wenmin Shi 한국자기학회 2019 Journal of Magnetics Vol.24 No.1

The motor core stress produced during the manufacturing process and motor operation changes the electromagnetic characteristics of the iron core. Thus, research on electromagnetic calculations under the condition of stress is one of the key challenges to achieve more efficient designs of permanent magnet motors. In this paper, the stress equations of a rotor centrifuge and stator interference assembly are studied, and the changing regularity of stress and magnetic properties of electrical steel and its causes are analyzed theoretically. A device for measuring the stress and magnetic properties of electrical steel is designed and tested. Then, a model for iron loss calculations that includes stress is proposed for improved design. The effects of stress on loss, d-q axis inductance, and torque are simulated and compared using an IPMSM as an example. The feasibility and accuracy of this method are verified by comparing the simulation and prototype test results.

Development and characterization of simple sequence repeat (SSR) markers based on a full-length c

Jia Wang,Yibing Huang,Zhitong Chen,Surong Jin,Zhongli Hu,Ying Diao 한국유전학회 2017 Genes & Genomics Vol.39 No.12

Napier grass (Pennisetum purpureum Schum.) is an economically important species used as a fodder crop, reflecting its high biomass, perennial nature and pest resistance. In order to understand the genomic information and development of this species based on SSR markers, the transcriptome for Napier grass was obtained using nextgeneration sequencing. A total of 117,076 sequence contigs were obtained, with lengths of 201–10,652 bp. Among these contigs, 44,313 (37.85%) sequences were annotated against public protein databases (E-value <10−5). In addition, the contigs generated from the transcript sequencing were also analysed for the presence of simple sequence repeats (SSRs). A total of 12,744 SSR motifs were identified with in these contigs and corresponding primer pairs were designed. Empirical validation of a cohort of 200 SSRs was performed, with 34% being polymorphic for 20 Napier grass accessions. The polymorphic index content values for each primer ranged from 0.105 to 0.749, with an average of 0.409. The development of genetic, genomic resources and EST-SSRs for Napier grass will contribute to novel gene discovery and the marker-assisted selective breeding of this species.

Thermal Analysis of High Density Permanent Magnet Synchronous Motor Based on Multi Physical Domain Coupling Simulation

Chen, ShiJun,Zhang, Qi,He, Biao,Huang, SuRong,Hui, Dou-Dou The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

In order to meet the thermal performance analysis accuracy requirements of high density permanent magnet synchronous motor (PMSM), a method of multi physical domain coupling thermal analysis based on control circuit, electromagnetic and thermal is presented. The circuit, electromagnetic, fluid, temperature and other physical domain are integrated and the temperature rise calculation method that considers the harmonic loss on the frequency conversion control as well as the loss non-uniformly distributed and directly mapped to the temperature field is closer to the actual situation. The key is to obtain the motor parameters, the realization of the vector control circuit and the accurate calculation and mapping of the loss. Taking a 48 slots 8 poles high density PMSM as an example, the temperature rise distribution of the key components is simulated, and the experimental platform is built. The temperature of the key components of the prototype machine is tested, which is in agreement with the simulation results. The validity and accuracy of the multi physical domain coupling thermal analysis method are verified.

Thermal Analysis of High Density Permanent Magnet Synchronous Motor Based on Multi Physical Domain Coupling Simulation

ShiJun Chen,Qi Zhang,Biao He,SuRong Huang,Dou-Dou Hui 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

In order to meet the thermal performance analysis accuracy requirements of high density permanent magnet synchronous motor (PMSM), a method of multi physical domain coupling thermal analysis based on control circuit, electromagnetic and thermal is presented. The circuit, electromagnetic, fluid, temperature and other physical domain are integrated and the temperature rise calculation method that considers the harmonic loss on the frequency conversion control as well as the loss non-uniformly distributed and directly mapped to the temperature field is closer to the actual situation. The key is to obtain the motor parameters, the realization of the vector control circuit and the accurate calculation and mapping of the loss. Taking a 48 slots 8 poles high density PMSM as an example, the temperature rise distribution of the key components is simulated, and the experimental platform is built. The temperature of the key components of the prototype machine is tested, which is in agreement with the simulation results. The validity and accuracy of the multi physical domain coupling thermal analysis method are verified.

A High Performance Permanent Magnet Synchronous Motor Servo System Using Predictive Functional Control and Kalman Filter

Shuang Wang,Wenju Zhu,Jian Shi,Hua Ji,Surong Huang 전력전자학회 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6

A predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) servo systems is proposed in this paper. The PFC-based method is first introduced in the control design of speed loop. Since the accuracy of the PFC model is influenced by external disturbances and speed detection quantization errors of the low distinguishability optical encoder in servo systems, it is noted that the standard PFC method does not achieve satisfactory results in the presence of strong disturbances. This paper adopted the Kalman filter to observe the load torque, the rotor position and the rotor angular velocity under the condition of a limited precision encoder. The observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC method, called the PFC+Kalman filter method, is presented, and a high performance PMSM servo system was achieved. The validity of the proposed controller was tested via experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

A High Performance Permanent Magnet Synchronous Motor Servo System Using Predictive Functional Control and Kalman Filter

Wang, Shuang,Zhu, Wenju,Shi, Jian,Ji, Hua,Huang, Surong The Korean Institute of Power Electronics 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6

A predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) servo systems is proposed in this paper. The PFC-based method is first introduced in the control design of speed loop. Since the accuracy of the PFC model is influenced by external disturbances and speed detection quantization errors of the low distinguishability optical encoder in servo systems, it is noted that the standard PFC method does not achieve satisfactory results in the presence of strong disturbances. This paper adopted the Kalman filter to observe the load torque, the rotor position and the rotor angular velocity under the condition of a limited precision encoder. The observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC method, called the PFC+Kalman filter method, is presented, and a high performance PMSM servo system was achieved. The validity of the proposed controller was tested via experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

Li, Yonggui,Wang, Shuang,Ji, Hua,Shi, Jian,Huang, Surong The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3

The inaccurate model parameters in the predictive current control of surface-mounted permanent magnet synchronous motor (SMPMSM) affect the current dynamic response and steady-state error. This paper presents a model parameter correction algorithm based on the relationship between the errors of model parameters and the static errors of dq-axis current. In this correction algorithm, the errors of inductance and flux are corrected in two steps. Resistance is ignored. First, the proportional relations between inductance and d-axis static current errors are utilized to correct the error of model inductance. Second, the flux is corrected by utilizing the proportional relations between flux and q-axis static current errors under the condition that inductance is corrected. An experimental study with a 100 W SMPMSM is performed to validate the proposed algorithm.

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

Yonggui Li,Shuang Wang,Hua Ji,Jian Shi,Surong Huang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3

The inaccurate model parameters in the predictive current control of surface-mounted permanent magnet synchronous motor (SMPMSM) affect the current dynamic response and steady-state error. This paper presents a model parameter correction algorithm based on the relationship between the errors of model parameters and the static errors of dq-axis current. In this correction algorithm, the errors of inductance and flux are corrected in two steps. Resistance is ignored. First, the proportional relations between inductance and d-axis static current errors are utilized to correct the error of model inductance. Second, the flux is corrected by utilizing the proportional relations between flux and q-axis static current errors under the condition that inductance is corrected. An experimental study with a 100 W SMPMSM is performed to validate the proposed algorithm.