A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to...A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of MPTC.For this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is estimated.Moreover,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is designed.The simulation results validate the feasibility and effectiveness of the proposed scheme.展开更多
A novel double extended state observers(ESOs)-based field-oriented control(FOC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive systems without any phase current sensor.In principle,...A novel double extended state observers(ESOs)-based field-oriented control(FOC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive systems without any phase current sensor.In principle,two current sensors are essential parts of the drive system for implementation of the feedback to achieve high accuracy control.For this purpose,the double ESOs are created to provide feedback stator currents instead of actual current sensors.The first one of the double ESOs is designed to estimate the benchmark value of q-axis stator current,which is a primary premise;While the second is designed to estimate real-time stator currents of d-axis and q-axis simultaneously.The resultant double ESOs can rapidly and accurately give estimation of the actual currents of a-axis,b-axis and c-axis,and the synthesized double ESOs-based FOC strategy for PMSM drive system without any current sensors has satisfactory control performance and strong robustness.Numerical experiments validate the feasibility and effectiveness of the proposed scheme.展开更多
Conventional model predictive current control(MPCC)applies only one vector during one control period,which produces large torque and flux ripples and high current harmonics in permanent magnet synchronous motor(PMSM)d...Conventional model predictive current control(MPCC)applies only one vector during one control period,which produces large torque and flux ripples and high current harmonics in permanent magnet synchronous motor(PMSM)drives.Recently MPCC with duty cycle control has been proposed to improve the steady state performance by applying one non-zero vector and one null vector during one control period.However,the prior method requires lots of calculations and predictions to find the optimal voltage vectors and calculate their respective duration.Different from prior enumeration-based MPCC,this paper proposes an efficient two-vector MPCC by applying two arbitrary voltage vectors during one control period.The reference voltage vector is firstly calculated based on the principle of deadbeat current control.Two optimal vectors and their duration are then obtained in a very efficient way,which does not require the calculation of current slopes in prior MPCC methods.The proposed method is compared to the state-of-the-art predictive control methods,including conventional MPCC,MPCC with duty cycle control,deadbeat control with space vector modulation(SVM)and modulated model predictive control(M2PC).Both simulation and experimental results prove that the proposed method achieves better steady state performance than conventional MPCC with or without duty cycle and the dynamic response is not degraded.Under the condition of insufficient dc bus voltage,the proposed method outperforms deadbeat control and M2PC by presenting even higher speed range and less torque ripples.展开更多
Deadbeat predictive current control(DPCC)has been widely applied in permanent magnet synchronous motor(PMSM)drives due to its fast dynamic response and good steady-state performance.However,the control accuracy of DPC...Deadbeat predictive current control(DPCC)has been widely applied in permanent magnet synchronous motor(PMSM)drives due to its fast dynamic response and good steady-state performance.However,the control accuracy of DPCC is dependent on the machine parameters’accuracy.In practical applications,the machine parameters may vary with working conditions due to temperature,saturation,skin effect,and so on.As a result,the performance of DPCC may degrade when there are parameter mismatches between the actual value and the one used in the controller.To solve the problem of parameter dependence for DPCC,this study proposes an improved model-free predictive current control method for PMSM drives.The accurate model of the PMSM is replaced by a first-order ultra-local model.This model is dynamically updated by online estimation of the gain of the input voltage and the other parts describing the system dynamics.After obtaining this ultra-local model from the information on the measured stator currents and applied stator voltages in past control periods,the reference voltage value can be calculated based on the principle of DPCC,which is subsequently synthesized by space vector modulation(SVM).This method is compared with conventional DPCC and field-oriented control(FOC),and its superiority is verified by the presented experimental results.展开更多
通过对永磁同步电机驱动控制方法的研究,提出了一种新型的无差拍电流控制(dead beat current control,DBCC)策略。电机在高速或者需要高转矩响应时,为了减少转矩纹波,高带宽和高精度的控制电流环是必不可少的。无差拍电流控制是实现这...通过对永磁同步电机驱动控制方法的研究,提出了一种新型的无差拍电流控制(dead beat current control,DBCC)策略。电机在高速或者需要高转矩响应时,为了减少转矩纹波,高带宽和高精度的控制电流环是必不可少的。无差拍电流控制是实现这些要求的首选之一。目前为止,国内外提出了多种无差拍电流控制方法。提出一种新型的考虑时间延时的DBCC方法,并且与传统的PI电流调节相比较,以进一步说明DBCC的优势。还提出了一种转子位置补偿的新算法,消除电机高速运行时的偏移误差。最后通过仿真和实验对该DBCC进行了验证。展开更多
基金National Natural Science Foundation of China(No.61463025)Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control(Lanzhou Jiaotong University),Ministry of Education(No.KFKT2018-8)
文摘A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of MPTC.For this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is estimated.Moreover,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is designed.The simulation results validate the feasibility and effectiveness of the proposed scheme.
基金National Natural Science Foundation of China(No.61463025)Opening Foundation of Key Laboratory of Opto-technology and Intelligent Control(Lanzhou Jiaotong University),Ministry of Education(No.KFKT2018-8)Program for Excellent Team of Scientific Research in Lanzhou Jiaotong University(No.201701)
文摘A novel double extended state observers(ESOs)-based field-oriented control(FOC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive systems without any phase current sensor.In principle,two current sensors are essential parts of the drive system for implementation of the feedback to achieve high accuracy control.For this purpose,the double ESOs are created to provide feedback stator currents instead of actual current sensors.The first one of the double ESOs is designed to estimate the benchmark value of q-axis stator current,which is a primary premise;While the second is designed to estimate real-time stator currents of d-axis and q-axis simultaneously.The resultant double ESOs can rapidly and accurately give estimation of the actual currents of a-axis,b-axis and c-axis,and the synthesized double ESOs-based FOC strategy for PMSM drive system without any current sensors has satisfactory control performance and strong robustness.Numerical experiments validate the feasibility and effectiveness of the proposed scheme.
文摘Conventional model predictive current control(MPCC)applies only one vector during one control period,which produces large torque and flux ripples and high current harmonics in permanent magnet synchronous motor(PMSM)drives.Recently MPCC with duty cycle control has been proposed to improve the steady state performance by applying one non-zero vector and one null vector during one control period.However,the prior method requires lots of calculations and predictions to find the optimal voltage vectors and calculate their respective duration.Different from prior enumeration-based MPCC,this paper proposes an efficient two-vector MPCC by applying two arbitrary voltage vectors during one control period.The reference voltage vector is firstly calculated based on the principle of deadbeat current control.Two optimal vectors and their duration are then obtained in a very efficient way,which does not require the calculation of current slopes in prior MPCC methods.The proposed method is compared to the state-of-the-art predictive control methods,including conventional MPCC,MPCC with duty cycle control,deadbeat control with space vector modulation(SVM)and modulated model predictive control(M2PC).Both simulation and experimental results prove that the proposed method achieves better steady state performance than conventional MPCC with or without duty cycle and the dynamic response is not degraded.Under the condition of insufficient dc bus voltage,the proposed method outperforms deadbeat control and M2PC by presenting even higher speed range and less torque ripples.
文摘Deadbeat predictive current control(DPCC)has been widely applied in permanent magnet synchronous motor(PMSM)drives due to its fast dynamic response and good steady-state performance.However,the control accuracy of DPCC is dependent on the machine parameters’accuracy.In practical applications,the machine parameters may vary with working conditions due to temperature,saturation,skin effect,and so on.As a result,the performance of DPCC may degrade when there are parameter mismatches between the actual value and the one used in the controller.To solve the problem of parameter dependence for DPCC,this study proposes an improved model-free predictive current control method for PMSM drives.The accurate model of the PMSM is replaced by a first-order ultra-local model.This model is dynamically updated by online estimation of the gain of the input voltage and the other parts describing the system dynamics.After obtaining this ultra-local model from the information on the measured stator currents and applied stator voltages in past control periods,the reference voltage value can be calculated based on the principle of DPCC,which is subsequently synthesized by space vector modulation(SVM).This method is compared with conventional DPCC and field-oriented control(FOC),and its superiority is verified by the presented experimental results.
文摘通过对永磁同步电机驱动控制方法的研究,提出了一种新型的无差拍电流控制(dead beat current control,DBCC)策略。电机在高速或者需要高转矩响应时,为了减少转矩纹波,高带宽和高精度的控制电流环是必不可少的。无差拍电流控制是实现这些要求的首选之一。目前为止,国内外提出了多种无差拍电流控制方法。提出一种新型的考虑时间延时的DBCC方法,并且与传统的PI电流调节相比较,以进一步说明DBCC的优势。还提出了一种转子位置补偿的新算法,消除电机高速运行时的偏移误差。最后通过仿真和实验对该DBCC进行了验证。
