Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturba...Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturbance suppression and have poor performance in suppressing complex nonlinear disturbances.In order to address these issues,this paper proposes an improved two-degree-of-freedom LADRC(TDOF-LADRC)strategy,which can enhance the disturbance rejection performance of the system while decoupling entirely the system's dynamic and anti-disturbance performance to boost the system robustness and simplify controller parameter tuning.PMSM models that consider total disturbances are developed to design the TDOF-LADRC speed controller accurately.Moreover,to evaluate the control performance of the TDOF-LADRC strategy,its stability is proven,and the influence of each controller parameter on the system control performance is analyzed.Based on it,a comparison is made between the disturbance observation ability and anti-disturbance performance of TDOF-LADRC and CLADRC to prove the superiority of TDOF-LADRC in rejecting disturbances.Finally,experiments are performed on a 750 W PMSM experimental platform,and the results demonstrate that the proposed TDOF-LADRC exhibits the properties of two degrees of freedom and improves the disturbance rejection performance of the PMSM system.展开更多
Neural networks require a lot of training to understand the model of a plant or a process. Issues such as learning speed, stability, and weight convergence remain as areas of research and comparison of many training a...Neural networks require a lot of training to understand the model of a plant or a process. Issues such as learning speed, stability, and weight convergence remain as areas of research and comparison of many training algorithms. The application of neural networks to control interior permanent magnet synchronous motor using direct torque control （DTC） is discussed. A neural network is used to emulate the state selector of the DTC. The neural networks used are the back-propagation and radial basis function. To reduce the training patterns and increase the execution speed of the training process, the inputs of switching table are converted to digital signals, i.e., one bit represent the flux error, one bit the torque error, and three bits the region of stator flux. Computer simulations of the motor and neural-network system using the two approaches are presented and compared. Discussions about the back-propagation and radial basis function as the most promising training techniques are presented, giving its advantages and disadvantages. The system using back-propagation and radial basis function networks controller has quick parallel speed and high torque response.展开更多
Lithography is one of the most important and complicated key equipment for the integr ated circuit man ufacture.The 2一D positioning device is the importan t subsystem of lithography.Compared with conventional 2一D po...Lithography is one of the most important and complicated key equipment for the integr ated circuit man ufacture.The 2一D positioning device is the importan t subsystem of lithography.Compared with conventional 2一D positioning systems with cumbersome stacked arrangement,the 2-D positioning systems with planar motors have received increasing attention recently.Currently,many types of planar motors have been proposed.展开更多
A discontinuity of magnetic circuits according to the end effect is generated in the permanent magnet linear synchronous motor （PMLSM）. Due to the unbalanced back electro-motive force （EMF） and impedance produced,...A discontinuity of magnetic circuits according to the end effect is generated in the permanent magnet linear synchronous motor （PMLSM）. Due to the unbalanced back electro-motive force （EMF） and impedance produced, unbalanced current is generated. The cireulatin8 current, which is caused by a decrease in the thrust, is generated by the unbalanced current. The optimal design of auxiliary-teeth at the end of the mover was carried out to solve the unbalance of phase by using design of experiment （DOE）, and compared with the basic model through finite element analysis （FEA）. As a result, the auxiliary-teeth model compensates for the decrease of thrust caused by the unbalanced phase. Also, this model is proven to reduce the detent force by the vibration and noise of the PMLSM and copper loss caused by the circulating current.展开更多
A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly forme...A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly formed to represent the nonlinear system of PMSM. For converting the tracking control into a stabilization problem, a new control design was proposed to define the internal desired states. Then, the FSMC controller for PMSM system with parameter variation and load disturbance was designed based on the fuzzy model. The performance of the proposed controller was verified by experimental results on PMSM system. The results show that the FSMC scheme can drive the dynamics of PMSM into a designated sliding surface in finite time and guarantee the property of asymptotical stability. The information of upper bound of modeling errors as well as perturbations is not required when using the FSMC controller.展开更多
The use of design method considering a coil temperature to maximize the thrust density of a double side coreless permanent magnet linear synchronous motor(PMLSM) was presented.The optimal current density where the coi...The use of design method considering a coil temperature to maximize the thrust density of a double side coreless permanent magnet linear synchronous motor(PMLSM) was presented.The optimal current density where the coil temperature reaches an allowable temperature with heat analysis was applied to a magnetic circuit design.Changing optimal current density is verified whenever the design parameters of the motor are altered.The design parameters of the motor were applied to thrust calculation.In this way,the optimal model,which is a reversal of the existing design method,is deduced.The results were compared with the experimental data to verify their validity.When the convection heat transfer coefficient is applied to other models,the results of the analysis and test values show good concordance.The method proposed has some limitations.展开更多
针对永磁同步电机(Permanent Magnet Synchronous Motor,PMSM)转速控制系统中存在的鲁棒性和抗干扰能力差的问题,提出了一种改进分数阶自抗扰控制器(Improved Fractional Order Active Disturbance Rejection Controller,IFOADRC),代替...针对永磁同步电机(Permanent Magnet Synchronous Motor,PMSM)转速控制系统中存在的鲁棒性和抗干扰能力差的问题,提出了一种改进分数阶自抗扰控制器(Improved Fractional Order Active Disturbance Rejection Controller,IFOADRC),代替传统非线性自抗扰控制器。首先,设计了新的非线性函数,应用于非线性分数阶扩张状态观测器(Nonlinear Fractional Order Extended State Observer,NFOESO)中,采用线性分数阶扩张状态观测器(Linear Fractional Order Extended State Observer,LFOESO)对系统总扰动进行初步估计;然后,通过设计的权重函数将该估计结果引入到非线性分数阶扩张状态观测器中,建立了改进分数阶自抗扰控制器,并且通过理论分析了该控制策略的收敛性和抗干扰能力;最后,进行了Simulink仿真和links-RT半实物实验验证。实验结果表明,所提控制策略相比传统非线性自抗扰控制器(Nonlinear Active Disturbance Rejection Controller,NLADRC)和级联扩张状态观测器的自抗扰控制器(Cascaded Linear Active Disturbance Rejection Controller,CLADRC),当电机受到速度阶跃时,调节时间在加速时分别减少了25.6%和17.6%,在减速时分别减少了10.7%和5.6%;当电机受到负载扰动时,调节时间在突加负载时分别减少了51.9%和24.2%,在突减负载时分别减少了41.5%和22.6%;验证了所提控制策略能有效增强永磁同步电机的鲁棒性和抗干扰能力。展开更多
文摘Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturbance suppression and have poor performance in suppressing complex nonlinear disturbances.In order to address these issues,this paper proposes an improved two-degree-of-freedom LADRC(TDOF-LADRC)strategy,which can enhance the disturbance rejection performance of the system while decoupling entirely the system's dynamic and anti-disturbance performance to boost the system robustness and simplify controller parameter tuning.PMSM models that consider total disturbances are developed to design the TDOF-LADRC speed controller accurately.Moreover,to evaluate the control performance of the TDOF-LADRC strategy,its stability is proven,and the influence of each controller parameter on the system control performance is analyzed.Based on it,a comparison is made between the disturbance observation ability and anti-disturbance performance of TDOF-LADRC and CLADRC to prove the superiority of TDOF-LADRC in rejecting disturbances.Finally,experiments are performed on a 750 W PMSM experimental platform,and the results demonstrate that the proposed TDOF-LADRC exhibits the properties of two degrees of freedom and improves the disturbance rejection performance of the PMSM system.
基金the National Natural Science Foundation of China (60374032).
文摘Neural networks require a lot of training to understand the model of a plant or a process. Issues such as learning speed, stability, and weight convergence remain as areas of research and comparison of many training algorithms. The application of neural networks to control interior permanent magnet synchronous motor using direct torque control （DTC） is discussed. A neural network is used to emulate the state selector of the DTC. The neural networks used are the back-propagation and radial basis function. To reduce the training patterns and increase the execution speed of the training process, the inputs of switching table are converted to digital signals, i.e., one bit represent the flux error, one bit the torque error, and three bits the region of stator flux. Computer simulations of the motor and neural-network system using the two approaches are presented and compared. Discussions about the back-propagation and radial basis function as the most promising training techniques are presented, giving its advantages and disadvantages. The system using back-propagation and radial basis function networks controller has quick parallel speed and high torque response.
文摘Lithography is one of the most important and complicated key equipment for the integr ated circuit man ufacture.The 2一D positioning device is the importan t subsystem of lithography.Compared with conventional 2一D positioning systems with cumbersome stacked arrangement,the 2-D positioning systems with planar motors have received increasing attention recently.Currently,many types of planar motors have been proposed.
基金supported by the Second Stage of Brain Korea 21 Projects and Changwon National University in 2009-2010
文摘A discontinuity of magnetic circuits according to the end effect is generated in the permanent magnet linear synchronous motor （PMLSM）. Due to the unbalanced back electro-motive force （EMF） and impedance produced, unbalanced current is generated. The cireulatin8 current, which is caused by a decrease in the thrust, is generated by the unbalanced current. The optimal design of auxiliary-teeth at the end of the mover was carried out to solve the unbalance of phase by using design of experiment （DOE）, and compared with the basic model through finite element analysis （FEA）. As a result, the auxiliary-teeth model compensates for the decrease of thrust caused by the unbalanced phase. Also, this model is proven to reduce the detent force by the vibration and noise of the PMLSM and copper loss caused by the circulating current.
基金Project (60835004) supported by the National Natural Science Foundation of China
文摘A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly formed to represent the nonlinear system of PMSM. For converting the tracking control into a stabilization problem, a new control design was proposed to define the internal desired states. Then, the FSMC controller for PMSM system with parameter variation and load disturbance was designed based on the fuzzy model. The performance of the proposed controller was verified by experimental results on PMSM system. The results show that the FSMC scheme can drive the dynamics of PMSM into a designated sliding surface in finite time and guarantee the property of asymptotical stability. The information of upper bound of modeling errors as well as perturbations is not required when using the FSMC controller.
基金Work supported by the Second Stage of Brain Korea 21 ProjectsChangwon National University in 2009-2010
文摘The use of design method considering a coil temperature to maximize the thrust density of a double side coreless permanent magnet linear synchronous motor(PMLSM) was presented.The optimal current density where the coil temperature reaches an allowable temperature with heat analysis was applied to a magnetic circuit design.Changing optimal current density is verified whenever the design parameters of the motor are altered.The design parameters of the motor were applied to thrust calculation.In this way,the optimal model,which is a reversal of the existing design method,is deduced.The results were compared with the experimental data to verify their validity.When the convection heat transfer coefficient is applied to other models,the results of the analysis and test values show good concordance.The method proposed has some limitations.
文摘针对永磁同步电机(Permanent Magnet Synchronous Motor,PMSM)转速控制系统中存在的鲁棒性和抗干扰能力差的问题,提出了一种改进分数阶自抗扰控制器(Improved Fractional Order Active Disturbance Rejection Controller,IFOADRC),代替传统非线性自抗扰控制器。首先,设计了新的非线性函数,应用于非线性分数阶扩张状态观测器(Nonlinear Fractional Order Extended State Observer,NFOESO)中,采用线性分数阶扩张状态观测器(Linear Fractional Order Extended State Observer,LFOESO)对系统总扰动进行初步估计;然后,通过设计的权重函数将该估计结果引入到非线性分数阶扩张状态观测器中,建立了改进分数阶自抗扰控制器,并且通过理论分析了该控制策略的收敛性和抗干扰能力;最后,进行了Simulink仿真和links-RT半实物实验验证。实验结果表明,所提控制策略相比传统非线性自抗扰控制器(Nonlinear Active Disturbance Rejection Controller,NLADRC)和级联扩张状态观测器的自抗扰控制器(Cascaded Linear Active Disturbance Rejection Controller,CLADRC),当电机受到速度阶跃时,调节时间在加速时分别减少了25.6%和17.6%,在减速时分别减少了10.7%和5.6%;当电机受到负载扰动时,调节时间在突加负载时分别减少了51.9%和24.2%,在突减负载时分别减少了41.5%和22.6%;验证了所提控制策略能有效增强永磁同步电机的鲁棒性和抗干扰能力。
