Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525862
Jau-Jr Lin, Jyun-Lin Lin, Wei-Ting Shen
A wireless controlled and powered gate driver system that can be used in environments with higher isolation requirements is proposed. In this system, two antennas are employed: one for wireless control signal transmission and the other for wireless energy/power transfer. The dedicated antennas are used to ensure sufficient wireless energy/power transfer for the gate driver stage. On-off keying (OOK) modulation is adopted for pulse width modulation (PWM) control signal modulation, owing to its simple modulation and demodulation schemes. At the receiving end, a voltage doubler and RC filter are used to demodulate the modulated PWM control signal. The demodulated PWM control signal can control the gate driver stage to drive a power switch. The gate driver stage is implemented with TSMC T25HVG2 complementary metal-oxide-semiconductor (CMOS) technology. In this paper, the wireless controlled part of the proposed system is tested and demonstrated. A 10-kHz PWM control signal is modulated with a 13.56-MHz RF carrier and sent through a pair of 13.56-MHz monopole antennas. At the receiving end, the modulated PWM control signal is demodulated successfully. The gate driver stage is able to drive the 2000-pF capacitive loading with rise/fall times of less than $1 mu mathrm{s}$.
提出了一种适用于高隔离环境的无线控制栅极驱动系统。本系统采用两根天线，一根用于无线控制信号传输，另一根用于无线能量/功率传输。专用天线用于确保栅极驱动器阶段有足够的无线能量/功率传输。脉宽调制(PWM)控制信号调制采用开关键控(OOK)调制，其调制解调方案简单。在接收端，使用倍压器和RC滤波器对调制后的PWM控制信号进行解调。解调后的PWM控制信号可以控制栅极驱动级驱动电源开关。栅极驱动级采用TSMC T25HVG2互补金属氧化物半导体(CMOS)技术实现。本文对该系统的无线控制部分进行了测试和演示。用13.56 mhz的射频载波调制10 khz PWM控制信号，通过一对13.56 mhz的单极天线发送。在接收端，调制后的PWM控制信号被成功解调。栅极驱动器级能够驱动2000-pF的容性负载，上升/下降时间小于$1 mu math {s}$。
{"title":"Implementation of a Wireless Controlled Gate Driver","authors":"Jau-Jr Lin, Jyun-Lin Lin, Wei-Ting Shen","doi":"10.1109/CIRSYSSIM.2018.8525862","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525862","url":null,"abstract":"A wireless controlled and powered gate driver system that can be used in environments with higher isolation requirements is proposed. In this system, two antennas are employed: one for wireless control signal transmission and the other for wireless energy/power transfer. The dedicated antennas are used to ensure sufficient wireless energy/power transfer for the gate driver stage. On-off keying (OOK) modulation is adopted for pulse width modulation (PWM) control signal modulation, owing to its simple modulation and demodulation schemes. At the receiving end, a voltage doubler and RC filter are used to demodulate the modulated PWM control signal. The demodulated PWM control signal can control the gate driver stage to drive a power switch. The gate driver stage is implemented with TSMC T25HVG2 complementary metal-oxide-semiconductor (CMOS) technology. In this paper, the wireless controlled part of the proposed system is tested and demonstrated. A 10-kHz PWM control signal is modulated with a 13.56-MHz RF carrier and sent through a pair of 13.56-MHz monopole antennas. At the receiving end, the modulated PWM control signal is demodulated successfully. The gate driver stage is able to drive the 2000-pF capacitive loading with rise/fall times of less than $1 mu mathrm{s}$.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132374077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525934
Lu Miao, Xin-xi Feng, Luo-jia Chi
In the background of clutter, the probability hypothesis density (PHD) filter is used to carry out the extended target tracking where the measurement set is difficult to partition and the computational efficiency is low. A method is proposed to divide the measurements for extended target by using the Clusters Optimization based on Density of Hierarchical Partition (CODHD) clustering algorithm. Firstly, the adaptive ellipsoid threshold method is used to pre-process the measurement set to filter ineffective clutter; then the optimal cluster result is obtained by evaluating cluster quality assessment for each partition; finally measurement partition is obtained through fuzzy C-means (FCM) operation. The simulation results have shown that the method can be used to divide the measurement set while the good performance of the extended target filter can be obtained, and the cost of the calculation is reduced.
{"title":"An Improved Algorithm for Tracking Mulitiple Extended Targets Based on Measurement Set Partitioning","authors":"Lu Miao, Xin-xi Feng, Luo-jia Chi","doi":"10.1109/CIRSYSSIM.2018.8525934","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525934","url":null,"abstract":"In the background of clutter, the probability hypothesis density (PHD) filter is used to carry out the extended target tracking where the measurement set is difficult to partition and the computational efficiency is low. A method is proposed to divide the measurements for extended target by using the Clusters Optimization based on Density of Hierarchical Partition (CODHD) clustering algorithm. Firstly, the adaptive ellipsoid threshold method is used to pre-process the measurement set to filter ineffective clutter; then the optimal cluster result is obtained by evaluating cluster quality assessment for each partition; finally measurement partition is obtained through fuzzy C-means (FCM) operation. The simulation results have shown that the method can be used to divide the measurement set while the good performance of the extended target filter can be obtained, and the cost of the calculation is reduced.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114652788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/cirsyssim.2018.8525889
{"title":"Title Page","authors":"","doi":"10.1109/cirsyssim.2018.8525889","DOIUrl":"https://doi.org/10.1109/cirsyssim.2018.8525889","url":null,"abstract":"","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125943933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525912
Ruoyuan Qu, Zhuohong Du, Ming Zhu, Nan Li, Hengjing Zhu
Some non-ideal factors during circuit design of folding and interpolating analog to digital converter (FIADC) are analyzed and summarized in this paper. Based on Matlab software, a 8 bit classic FIADC has been modeled and effects of these non-ideal factors has been validated such as reference voltage varies which caused by the resistance errors, output voltage offset of the track-hold array with different input voltage and the trade-off between gain and linearity of folders. The simulation data has been analyzed at last. These results can be used to estimate distortion of FIADC and guide the circuit design of FIADCs.
{"title":"Non-ideality Analysis of Folding and Interpolating ADC","authors":"Ruoyuan Qu, Zhuohong Du, Ming Zhu, Nan Li, Hengjing Zhu","doi":"10.1109/CIRSYSSIM.2018.8525912","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525912","url":null,"abstract":"Some non-ideal factors during circuit design of folding and interpolating analog to digital converter (FIADC) are analyzed and summarized in this paper. Based on Matlab software, a 8 bit classic FIADC has been modeled and effects of these non-ideal factors has been validated such as reference voltage varies which caused by the resistance errors, output voltage offset of the track-hold array with different input voltage and the trade-off between gain and linearity of folders. The simulation data has been analyzed at last. These results can be used to estimate distortion of FIADC and guide the circuit design of FIADCs.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525874
Aliyu Makama, R. Binns, M. Basha
This paper presents a visible light communication (VLC) link range extension, achieved by establishing a VLC system using simple, low-cost, and reliable electronic circuitry, and employing a design of a highly resonant frequency selective active band pass filter (infinite gain multiple feedback filter) at the receiver section of the system. The filter was designed for a specific center (resonant) frequency with high Quality factor and gain. An outline of the relationship between Signal-to-Noise ratio (SNR) and transmission distance for three different center frequencies was presented. Results show that by utilizing an IGMF filter at the receiver, a signal-to-noise ratio above 10dB at a distance beyond 1.5 meters can be achieved without any form of lensing at either the transmitter or receiver.
{"title":"Application of an Infinite Gain Multiple Feedback Filter in VLC Link Range Extension","authors":"Aliyu Makama, R. Binns, M. Basha","doi":"10.1109/CIRSYSSIM.2018.8525874","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525874","url":null,"abstract":"This paper presents a visible light communication (VLC) link range extension, achieved by establishing a VLC system using simple, low-cost, and reliable electronic circuitry, and employing a design of a highly resonant frequency selective active band pass filter (infinite gain multiple feedback filter) at the receiver section of the system. The filter was designed for a specific center (resonant) frequency with high Quality factor and gain. An outline of the relationship between Signal-to-Noise ratio (SNR) and transmission distance for three different center frequencies was presented. Results show that by utilizing an IGMF filter at the receiver, a signal-to-noise ratio above 10dB at a distance beyond 1.5 meters can be achieved without any form of lensing at either the transmitter or receiver.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124763067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525994
Luo-jia Chi, Xin-xi Feng
For the case that the prediction and update steps of sequence Monte Carlo Generalized Labeled Multi-Bernoulli filter (SMC-GLMB) require pruning respectively which causes large amount of calculation and low operation efficiency, a fast GLMB algorithm based on box particle filter for target tracking is proposed. First, a new recursive equation is derived based on the combination of prediction and update step, then the box particle filter is used to approximate the probability density of single target state, finally we use the new recursive equation to update the probability density of target state. Simulation results show that our proposed algorithm can effectively estimate the state of target, and the computational efficiency is significantly improved compared with the traditional SMC-GLMB filter.
{"title":"Fast Generalized Labeled Multi-Bernoulli Tracking Algorithm Based on Box Particle Filtering","authors":"Luo-jia Chi, Xin-xi Feng","doi":"10.1109/CIRSYSSIM.2018.8525994","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525994","url":null,"abstract":"For the case that the prediction and update steps of sequence Monte Carlo Generalized Labeled Multi-Bernoulli filter (SMC-GLMB) require pruning respectively which causes large amount of calculation and low operation efficiency, a fast GLMB algorithm based on box particle filter for target tracking is proposed. First, a new recursive equation is derived based on the combination of prediction and update step, then the box particle filter is used to approximate the probability density of single target state, finally we use the new recursive equation to update the probability density of target state. Simulation results show that our proposed algorithm can effectively estimate the state of target, and the computational efficiency is significantly improved compared with the traditional SMC-GLMB filter.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127179537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525910
Wenzhe Zheng, J. Bu, Ningyu Zhang, Qian Zhou, Jiankun Liu
This paper focuses on the problem of low accuracy when wind farms are dynamically equated without considering the impacts of collection lines and proposes a dynamic cluster equivalence method of coherent generators. Based on hierarchical clustering analysis, it considers the intra-site impacts of collection lines. Firstly, it uses the rotor current of the doubly fed induction generator (DFIG) as the characteristic quantity to analyze the influence of the topology in the doubly fed wind farm (DFWF) and the collection lines on the dynamic process. Then, it uses hierarchical clustering method to correlate the disturbed trajectory of rotor current of the intra-site DFIGs and obtains the dynamic clustering results. Finally, according to the equivalent power loss method, the equivalent parameters of the collection network and the DFIGs are given to obtain a multi-machine equivalent model. The proposed clustering method is validated by simulation results.
{"title":"Dynamic Clustering Equivalence of Wind Farms Considering Impacts of Collection Lines","authors":"Wenzhe Zheng, J. Bu, Ningyu Zhang, Qian Zhou, Jiankun Liu","doi":"10.1109/CIRSYSSIM.2018.8525910","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525910","url":null,"abstract":"This paper focuses on the problem of low accuracy when wind farms are dynamically equated without considering the impacts of collection lines and proposes a dynamic cluster equivalence method of coherent generators. Based on hierarchical clustering analysis, it considers the intra-site impacts of collection lines. Firstly, it uses the rotor current of the doubly fed induction generator (DFIG) as the characteristic quantity to analyze the influence of the topology in the doubly fed wind farm (DFWF) and the collection lines on the dynamic process. Then, it uses hierarchical clustering method to correlate the disturbed trajectory of rotor current of the intra-site DFIGs and obtains the dynamic clustering results. Finally, according to the equivalent power loss method, the equivalent parameters of the collection network and the DFIGs are given to obtain a multi-machine equivalent model. The proposed clustering method is validated by simulation results.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125463599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525985
Hanie Ghaedrahmati, Jianfeng Xue, J. Jin, Jianjun J. Zhou
A 10-bit 160MS/s 20MHz bandwidth low-power noise-shaping successive approximation register (SAR) analog-to-digital converter (ADC) using a novel dynamic amplifier-based filter is presented. Thanks to noise-shaping architecture, the proposed scheme can achieve 10-bit resolution while employing only 8-bit capacitor-DAC array. The prototype ADC is designed in 40nm CMOS technology, with a peak signal-to-noise-distortion ratio (SNDR) 59 dB and 68 dB spurious-free-dynamic-range (SFDR) at 160 MS/s sampling frequency, while consuming 1 mW power from 1.1 V supply voltage. The figure-of-merit (FoM) is 34.29 fJ/conv.-step.
{"title":"A 1mW 20MHz Bandwidth 9.51-ENOB Dynamic-Amplifier-Based Noise-Shaping SAR ADC","authors":"Hanie Ghaedrahmati, Jianfeng Xue, J. Jin, Jianjun J. Zhou","doi":"10.1109/CIRSYSSIM.2018.8525985","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525985","url":null,"abstract":"A 10-bit 160MS/s 20MHz bandwidth low-power noise-shaping successive approximation register (SAR) analog-to-digital converter (ADC) using a novel dynamic amplifier-based filter is presented. Thanks to noise-shaping architecture, the proposed scheme can achieve 10-bit resolution while employing only 8-bit capacitor-DAC array. The prototype ADC is designed in 40nm CMOS technology, with a peak signal-to-noise-distortion ratio (SNDR) 59 dB and 68 dB spurious-free-dynamic-range (SFDR) at 160 MS/s sampling frequency, while consuming 1 mW power from 1.1 V supply voltage. The figure-of-merit (FoM) is 34.29 fJ/conv.-step.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114994160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525496
Weiting Gao, Fei Ma, Guobing Cheng, Weilun Liu
Aiming at the problem that the eigenvalue based spectrum sensing algorithms don't perform well in the situation of low SNR and small sample, based on the difference value between the maximum and minimum eigenvalue spectrum sensing algorithm (DMM), a Difference between the mean and minimum eigenvalue spectrum sensing algorithm (DAM) was proposed via the limiting distribution of minimum eigenvalue and the energy quality of the mean eigenvalue with the Random Matrix Theory (RMT). Analyze the algorithm performance (DAM1 and DAM2) with two different thresholds relatively, which were deducted in different ways. The simulation results show the DAM has the best performance without increasing algorithm complexity over the DMM and current Difference between the Maximum and average Energy spectrum sensing algorithm (ME-S-ED) in the situation of low SNR and sample, the DAM1 suits low SNR better and the DAM2 suits sample better.
{"title":"A DAM Spectrum Sensing Algorithm of Cognitive Radio Network Based Random Matrix","authors":"Weiting Gao, Fei Ma, Guobing Cheng, Weilun Liu","doi":"10.1109/CIRSYSSIM.2018.8525496","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525496","url":null,"abstract":"Aiming at the problem that the eigenvalue based spectrum sensing algorithms don't perform well in the situation of low SNR and small sample, based on the difference value between the maximum and minimum eigenvalue spectrum sensing algorithm (DMM), a Difference between the mean and minimum eigenvalue spectrum sensing algorithm (DAM) was proposed via the limiting distribution of minimum eigenvalue and the energy quality of the mean eigenvalue with the Random Matrix Theory (RMT). Analyze the algorithm performance (DAM1 and DAM2) with two different thresholds relatively, which were deducted in different ways. The simulation results show the DAM has the best performance without increasing algorithm complexity over the DMM and current Difference between the Maximum and average Energy spectrum sensing algorithm (ME-S-ED) in the situation of low SNR and sample, the DAM1 suits low SNR better and the DAM2 suits sample better.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116008828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/CIRSYSSIM.2018.8525918
Yifang Zhu, J. Yin, Gang Xu
In this paper, using the two control methods of model predictive control (MPC), model predictive current control (MPCC) and model predictive torque control (MPTC) is applied to the control system of permanent magnet synchronous motor(PMSM). The algorithms are based on the minimization of different cost functions, and the corresponding optimal voltage vector can be obtained. Comparison of the dynamic and steady state performance of the tested PMSM with MPCC and MPTC is elaborated. The delay compensation is considered to reduce the fluctuation of current and torque, in order to reduce the computational burden by using a single vector, comparison of two methods in the speed control system of dynamic and steady-state performance and speed tracking performance and resistance to load disturbance. The simulation results show that both MPCC and MPTC can be well applied to the PMSM driving systems with good speed tracking performance. However the MPCC can achieve less harmonics in the stator currents, and consequently the circular flux linkage trajectory is smoother, while the MPTC shows advantages in smaller ripples in the mechanical torque.
{"title":"A Comparative Study of MPCC and MPTC in PMSM Drive System","authors":"Yifang Zhu, J. Yin, Gang Xu","doi":"10.1109/CIRSYSSIM.2018.8525918","DOIUrl":"https://doi.org/10.1109/CIRSYSSIM.2018.8525918","url":null,"abstract":"In this paper, using the two control methods of model predictive control (MPC), model predictive current control (MPCC) and model predictive torque control (MPTC) is applied to the control system of permanent magnet synchronous motor(PMSM). The algorithms are based on the minimization of different cost functions, and the corresponding optimal voltage vector can be obtained. Comparison of the dynamic and steady state performance of the tested PMSM with MPCC and MPTC is elaborated. The delay compensation is considered to reduce the fluctuation of current and torque, in order to reduce the computational burden by using a single vector, comparison of two methods in the speed control system of dynamic and steady-state performance and speed tracking performance and resistance to load disturbance. The simulation results show that both MPCC and MPTC can be well applied to the PMSM driving systems with good speed tracking performance. However the MPCC can achieve less harmonics in the stator currents, and consequently the circular flux linkage trajectory is smoother, while the MPTC shows advantages in smaller ripples in the mechanical torque.","PeriodicalId":127121,"journal":{"name":"2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122897996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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