http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A SWITCHED-CAPACITOR CONVERTERS WITH HIGH PERFORMANCE
Jian Liu,Zhiming Chen,Yanru Zhong 전력전자학회 1995 ICPE(ISPE)논문집 Vol.1995 No.10
Voltage-tracking-control regulation method is employed to improve the properties of switched -capacitor converters The approach to increase the conversion efficiency is discussed An isolating method without employing any transformer is presented AC voltage with frequency as high as 4000 Hz has been inverted with low distortion.
Hui Zhang,Jing Ren,Yanru Zhong,Jian Chen 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
A prototype, double-DSPs controlled Power Conditioning System (PCS) for Super-conducting Magnetic Energy Storage (SMES), is used for experimental research in dynamic simulation test of power system. The function of SMES is to improve the dynamic performance of a singlemachine infinite bus for power system. The experimental results show that the energy transfer of SMES is done almost immediately depending on the system requirement, and SMES is able to restore system stability for short circuit. The control algorithms for the SMES are simple and implementation has required very a little hardware.
A Study on Control Strategy of Electric Power Steering Based on Fuzzy Control
Hui Zhang,Jing Ren,Yanru Zhong,Jian Chen 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
Intelligent Control, a novel stage of automatic control development, is one of the efficient strategies for the system with nonlinear or imprecise model. This paper has applied Fuzzy Control (FC) technology to AC electric power steering (EPS) system for seeking better control strategies. Proceeding with fuzzy logic, fuzzy rule and fuzzy inference, a kind of control diagram of EPS based on fuzzy control system has been presented, which can be used to solve the nonlinear or imprecise problems of electrical machine control. The paper has established the foundation for further applications of FC technology in EPS domains. The FC system is verified to be feasible by simulation and experiment.
Shaoliang An,Lu Lai,Xiangdong Sun,Yanru Zhong,Biying Ren,Qi Zhang 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
A neutral point voltage-balancing control algorithm is proposed for a neutral-point-clamped (NPC) three-level photovoltaic (PV) grid-connected inverter. The mathematical model of the neutral point current was deduced. The influence on the neutral point voltage for discontinuous pulse width modulation(DPWM) methods was analyzed. Comparison of the error between feedback neutral point voltages and the hysteresis width was used to choose a DPWM method to control the neutral point voltage. Simulation and experimental results verify the correctness and validity of the proposed neutral point voltage-balancing control algorithm.
Yanqing Zhang,Zhonggang Yin,Xiangdong Sun,Yanru Zhong 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
Motor parameters should be on-line estimated to realize precise control of PMSM in sensorless vector control system. In this paper, an on-line identification method for PMSM parameters based on cascade MRAS is proposed by analyzing the conventional MRAS. By means of Popov’s hyper-stability theory, the model of motor parameters identification is built in synchronous d-q coordinates, and PMSM stator voltage, stator current and their errors are used to obtain the adaptive laws of motor parameters, and it is realizable to estimate rotor speed, stator resistance and rotor flux at the same time. The simulation results demonstrate the correctness and effectiveness of the proposed method.
Zhonggang Yin,Guoyin Li,Chao Du,Xiangdong Sun,Jing Liu,Yanru Zhong 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.1
To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to each other and tunes the gain matrix online. In addition, the estimation error is adjusted adaptively and the mutational state is tracked fast. Simultaneously, the fading factor can be continuously self-tuned with the least-square algorithm according to the innovation sequence. The application of the least-square algorithm guarantees that the information in the innovation sequence is extracted as much as possible and as quickly as possible. Therefore, the proposed method improves the model adaptability in terms of actual systems and environmental variations, and reduces the speed estimation error. The correctness and the effectiveness of the proposed method are verified by experimental results.
Sliding Mode Control for Servo Motors Based on the Differential Evolution Algorithm
Yin, Zhonggang,Gong, Lei,Du, Chao,Liu, Jing,Zhong, Yanru The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1
A sliding mode control (SMC) for servo motors based on the differential evolution (DE) algorithm, called DE-SMC, is proposed in this study. The parameters of SMC should be designed exactly to improve the robustness, realize the precision positioning, and reduce the steady-state speed error of the servo drive. The main parameters of SMC are optimized using the DE algorithm according to the speed feedback information of the servo motor. The most significant influence factor of the DE algorithm is optimization iteration. A suitable iteration can be achieved by the tested optimization process profile of the main parameters of SMC. Once the parameters of SMC are optimized under a convergent iteration, the system realizes the given performance indices within the shortest time. The experiment indicates that the robustness of the system is improved, and the dynamic and steady performance achieves the given performance indices under a convergent iteration when motor parameters mismatch and load disturbance is added. Moreover, the suitable iteration effectively mitigates the low-speed crawling phenomenon in the system. The correctness and effectiveness of DE-SMC are verified through the experiment.
Yin, Zhonggang,Li, Guoyin,Du, Chao,Sun, Xiangdong,Liu, Jing,Zhong, Yanru The Korean Institute of Power Electronics 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.1
To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to each other and tunes the gain matrix online. In addition, the estimation error is adjusted adaptively and the mutational state is tracked fast. Simultaneously, the fading factor can be continuously self-tuned with the least-square algorithm according to the innovation sequence. The application of the least-square algorithm guarantees that the information in the innovation sequence is extracted as much as possible and as quickly as possible. Therefore, the proposed method improves the model adaptability in terms of actual systems and environmental variations, and reduces the speed estimation error. The correctness and the effectiveness of the proposed method are verified by experimental results.
Sliding Mode Control for Servo Motors Based on the Differential Evolution Algorithm
Zhonggang Yin,Lei Gong,Chao Du,Jing Liu,Yanru Zhong 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1
A sliding mode control (SMC) for servo motors based on the differential evolution (DE) algorithm, called DE-SMC, is proposed in this study. The parameters of SMC should be designed exactly to improve the robustness, realize the precision positioning, and reduce the steady-state speed error of the servo drive. The main parameters of SMC are optimized using the DE algorithm according to the speed feedback information of the servo motor. The most significant influence factor of the DE algorithm is optimization iteration. A suitable iteration can be achieved by the tested optimization process profile of the main parameters of SMC. Once the parameters of SMC are optimized under a convergent iteration, the system realizes the given performance indices within the shortest time. The experiment indicates that the robustness of the system is improved, and the dynamic and steady performance achieves the given performance indices under a convergent iteration when motor parameters mismatch and load disturbance is added. Moreover, the suitable iteration effectively mitigates the low-speed crawling phenomenon in the system. The correctness and effectiveness of DE-SMC are verified through the experiment.