A Three-Vector-Based Model Predictive Flux Control for PMSM Drives

Xu Yanping,Hu Miaomiao,Yan Zhongqiao,Zhang Yanping,Ma Hao 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5

The model predictive fl ux control (MPFC) strategy is an improved method for the weighting factor that is diffi cult to adjust in the traditional model predictive torque control (MPTC). By analyzing the relationship among torque, stator fl ux and load angle, the simultaneous control of torque and stator fl ux amplitude is converted into the control of equivalent references stator fl ux vector, which eliminates directly the weighting factor. However, MPFC also suff ers from high torque and fl ux ripples if only one voltage vector is applied during each control period. In order to solve this problem, a three-vector-based model predictive fl ux control strategy is proposed for permanent magnet synchronous motor in this paper. Three voltage vectors are applied in one control cycle to achieve good control performance of torque and fl ux, and the durations of three vectors are determined based on the principle of stator fl ux deadbeat control. The experimental results show that, compared with the model predictive fl ux control strategy and the optimal duty model predictive fl ux control strategy, the three-vector-based model predictive fl ux control strategy can eff ectively reduce the torque and fl ux ripples, improve the system’s steady-state performance.

Robust Predictive Speed Control for SPMSM Drives Based on Extended State Observers

Xu, Yanping,Hou, Yongle,Li, Zehui The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.2

The predictive speed control (PSC) strategy can realize the simultaneous control of speed and current by using one cost function. As a model-based control method, the performance of the PSC is vulnerable to model mismatches such as load torque disturbances and parameter uncertainties. To solve this problem, this paper presents a robust predictive speed control (RPSC) strategy for surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed RPSC uses extended state observers (ESOs) to estimate the lumped disturbances caused by load torque changes and parameter mismatches. The observer-based prediction model is then compensated by using the estimated disturbances. The introduction of ESOs can achieve robustness against predictive model uncertainties. In addition, a modified cost function is designed to further suppress load torque disturbances. The performance of the proposed RPSC scheme has been corroborated by experimental results under the condition of load torque changes and parameter mismatches.

Robust Predictive Speed Control for SPMSM Drives Based on Extended State Observers

Yanping Xu,Yongle Hou,Zehui Li 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.2

The predictive speed control (PSC) strategy can realize the simultaneous control of speed and current by using one cost function. As a model-based control method, the performance of the PSC is vulnerable to model mismatches such as load torque disturbances and parameter uncertainties. To solve this problem, this paper presents a robust predictive speed control (RPSC) strategy for surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed RPSC uses extended state observers (ESOs) to estimate the lumped disturbances caused by load torque changes and parameter mismatches. The observer-based prediction model is then compensated by using the estimated disturbances. The introduction of ESOs can achieve robustness against predictive model uncertainties. In addition, a modified cost function is designed to further suppress load torque disturbances. The performance of the proposed RPSC scheme has been corroborated by experimental results under the condition of load torque changes and parameter mismatches.

Multi-step model predictive current control of permanent-magnet synchronous motor

Xu, Yanping,Sun, Yifei,Hou, Yongle The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.1

The traditional model predictive current control (MPCC) strategy has the advantages of a fast dynamic response and flexible constraint conditions. However, this strategy only determines the optimal voltage vector in a period rather than in multiple periods, which may result in a large current ripple. To solve the above problem, this paper proposes a multi-step MPCC strategy of permanent-magnet synchronous motor. In the proposed multi-step MPCC strategy, the optimal voltage vector and the sub-optimal voltage vector are considered simultaneously. The current response in the next period is predicted on the basis of the optimal and the sub-optimal voltage vectors, respectively. To ensure the optimality of the selected voltage vector in two control periods, the current responses of the two control periods are contrasted. Compared with the traditional MPCC strategy, simulation and experimental results show that the proposed multi-step MPCC strategy can effectively reduce the current ripple and improve the steady-state performance without increasing the switching frequency.

Disturbance rejection speed sensorless control of PMSMs based on full order adaptive observer

Xu, Yanping,Wang, Li,Yuan, Weiwen,Yin, Zhonggang The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.5

Speed sensorless control systems with a full order adaptive observer of the permanent magnet synchronous motor (PMSM) have received wide attention due to their advantages of simple structure, easy implementation and strong universality. However, they are sensitive to the load disturbances, which affects the speed performance of the control system. To solve this problem, this paper presents a disturbance rejection speed sensorless control of PMSMs based on full order adaptive observer to improve robustness against load disturbances. A load disturbance observer (LDO) is used to observe load disturbances, which feed-forward compensates the q-axis current to reduce the speed drop and accelerate the recovery time. Experimental results show that the proposed method has better anti-interference capability than full order adaptive speed sensorless control under the same steady-state performance.

Three-vector-based model predictive current control with disturbance feedforward compensation

Xu, Yanping,Li, Hangke,Ren, Jinglu,Zhang, Yanping The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.3

Finite control set model predictive current control (FCS-MPCC) has attracted the attention of a large number of researchers due to its intuitive idea, fast dynamic response and control objective flexibility. However, FCS-MPCC has a high steady-state current ripple. Three-vector-based model predictive current control (TV-MPCC) is an effective method to improve steady-state performance. However, it results in high motor parameter dependency. In this paper, the effect of motor parameters mismatch in FCS-MPCC has been analyzed. The control performance of FCS-MPCC is impacted when the motor parameters are mismatched. Then based on the disturbance estimation technique, a disturbance feedforward compensation based generalized proportional integral observer is used to reduce the disturbances and improves the robustness performance of the system. Experimental results show that the proposed method effectively improve the robustness of the system.

Anti-disturbance Position Sensorless Control of PMSM Based on Improved Sliding Mode Observer with Suppressed Chattering and No Phase Delay

Xu Yanping,Wang Chen,Yuan Weiwen,Li Zhifang,Yin Zhonggang 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

In the position sensorless control of permanent magnet synchronous motor (PMSM), the traditional sliding mode observer (SMO) uses the switching function, which presents serious chattering. Otherwise, the traditional SMO uses a low-pass filter to filter the harmonic components in the estimated back-EMF. The low-pass filter usually causes phase delay in the estimated rotor position. These problems restrict the further development of SMO. In this paper, an improved sliding mode observer (ISMO) with suppressed chattering and no phase delay is studied. In the ISMO, a sine saturation function is designed as the control function, and a synchronous reference frame filter (SRFF) is designed to eliminate the phase delay of ISMO. Different from other filters, the SRFF can not only filter out the harmonic components in the estimated back-EMF, but also effectively makes the phase delay almost zero. In addition, in order to improve the poor anti-disturbance performance of position sensorless control, a load disturbance observer (LDO) is introduced on the basis of the ISMO. The experimental results prove the effectiveness of the ISMO, and the addition of LDO improves the anti-disturbance ability of the system.

Feature Selection to Mine Joint Features from High-dimension Space for Android Malware Detection

( Yanping Xu ),( Chunhua Wu ),( Kangfeng Zheng ),( Xinxin Niu ),( Tianling Lu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9

Android is now the most popular smartphone platform and remains rapid growth. There are huge number of sensitive privacy information stored in Android devices. Kinds of methods have been proposed to detect Android malicious applications and protect the privacy information. In this work, we focus on extracting the fine-grained features to maximize the information of Android malware detection, and selecting the least joint features to minimize the number of features. Firstly, permissions and APIs, not only from Android permissions and SDK APIs but also from the developer-defined permissions and third-party library APIs, are extracted as features from the decompiled source codes. Secondly, feature selection methods, including information gain (IG), regularization and particle swarm optimization (PSO) algorithms, are used to analyze and utilize the correlation between the features to eliminate the redundant data, reduce the feature dimension and mine the useful joint features. Furthermore, regularization and PSO are integrated to create a new joint feature mining method. Experiment results show that the joint feature mining method can utilize the advantages of regularization and PSO, and ensure good performance and efficiency for Android malware detection.

A Novel Interleaving Control Scheme for Boost Converters Operating in Critical Conduction Mode

Xu Yang,Yanping Ying,Wenjie Chen 전력전자학회 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.2

Interleaving techniques are widely used to reduce input/output ripples and to increase the power capacity of boost converters operating in critical conduction mode. Two types of phase-shift control schemes are studied in this paper, the turn-on time shifting method and the turn-off time shifting method. It is found that although the turn-off time shifting method exhibits better performance, it suffers from sub-harmonic oscillations at high input voltages. To solve this problem, an intensive quantitative analysis of the sub-harmonic oscillation phenomenon is made in this paper. Based upon that, a novel modified turn off time shifting control scheme for interleaved boost converters operating in critical conduction mode is proposed. An important advantage of this scheme is that both the master phase and the slave phase can operate stably in critical conduction mode without any oscillations in the full input voltage range. This method is implemented with a FPGA based digital PWM control platform, and tests were carried out on a two-phase interleaved boost PFC converter prototype. Experimental results demonstrated the feasibility and performance of the proposed phase-shift control scheme.

A NEW FAMILY OF LOW-DENSITY PARITY CHECK CODES WITH LARGE GIRTH AND LOW COMPLEXITY

Xia Xu,Li Yanping,Moon Ho Lee 한국통신학회 2004 한국통신학회 학술대회 및 강연회 Vol.2004 No.4