This article proposes an innovative strategy to the problem of non-linear estimation of states for electrical machine systems. This method allows the estimation of variables that are difficult to access or that are si...This article proposes an innovative strategy to the problem of non-linear estimation of states for electrical machine systems. This method allows the estimation of variables that are difficult to access or that are simply impossible to measure. Thus, as compared with a full-order sliding mode observer, in order to reduce the execution time of the estimation, a reduced-order discrete-time Extended sliding mode observer is proposed for on-line estimation of rotor flux, speed and rotor resistance in an induction motor using a robust feedback linearization control. Simulations results on Matlab-Simulink environment for a 1.8 kW induction motor are presented to prove the effectiveness and high robustness of the proposed nonlinear control and observer against modeling uncertainty and measurement noise.展开更多
This study presented an off-line identification method of induction motor (IM) parameters. Before startup,the inverter drive performed automatically a modified DC test, a locked-rotor test, a no-load test and a step-v...This study presented an off-line identification method of induction motor (IM) parameters. Before startup,the inverter drive performed automatically a modified DC test, a locked-rotor test, a no-load test and a step-voltage test to identify all the parameters of an induction motor. No manual operation and speed signals were required in the process. In order to obtain effective messages and improve the accuracy of identification, the discrete fast Fourier transform (DFFT) and the least-squares were used to process the signals of currents and voltages. A phase-voltage measuring method for motors was also proposed, which measured directly the actual conducting time of three upper switches in the inverter without need for a dead-time compensator. The validity, reliability and accuracy of the presented methods have been verified by the experiments on a VSI-fed IM drive system.展开更多
提出一种基于旋转不变信号参数估计技术ESPRIT(Estimation of signal parameters via rotational invariance technique)、模式搜索算法PSA(Pattern search algorithm)与轻型梯度提升机LightGBM(Light gradient boosting machine)结合...提出一种基于旋转不变信号参数估计技术ESPRIT(Estimation of signal parameters via rotational invariance technique)、模式搜索算法PSA(Pattern search algorithm)与轻型梯度提升机LightGBM(Light gradient boosting machine)结合的感应电动机转子断条数目诊断新方法。模拟了转子断条故障下的瞬时无功功率信号并用其衡量ESPRIT-PSA的性能。结果表明:ESPRIT-PSA只需短时数据就能准确测量瞬时无功功率信号中的转子断条故障特征分量。随后,为解决现有的电机瞬时无功功率信号分析MIRPSA(Motor instantaneous reactive power signal analysis)类方法无法准确诊断转子断条数目的问题,引入LightGBM对转子断条故障进行多分类以准确诊断转子断条数目。最后针对一台异步电动机进行转子断条诊断实验,结果表明:该方法是有效的,并且因将瞬时无功功率作为分析信号而适用于电机低转差率的情况。展开更多
This paper deals with the design of an output feedback predictive controller for induction motors. The fundamental interest of the proposed controller is the capability of decoupling the mechanical speed and the rotor...This paper deals with the design of an output feedback predictive controller for induction motors. The fundamental interest of the proposed controller is the capability of decoupling the mechanical speed and the rotor fluxes, without degradation against the variation of rotor resistance and load torque. Hence, the contribution is to apply two estimation procedures in order to achieve this goal. Namely, an unknown input observer （UIO） is used for the constant time estimation whereas a heuristic solution is exploited for the load torque update. Moreover, rotor flux components are recovered as an unavailable state of the system. Effectiveness of the proposed observers and the performance of the controller are confirmed by simulation results.展开更多
The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between pa...The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between particle swarm optimization and Jaya optimization algorithms for finding the optimal parameters estimation of poly-phase induction motors.It is carried out using the manufacturer’s operation characteristics on two poly-phase induction motors.Numerical results show the capability of the proposed hybrid optimization algorithm.The proposed algorithm has competitive performance compared with conventional algorithms as well as with differ-ential evolution and genetic algorithms.Experimental verifications are carried out on three-phase and six-phase induction motors.Also,it emulates the closeness between experimental and estimated parameters with fast con-vergence compared to other algorithms.Also,the results reflect the high robustness of the proposed algorithm compared with other algorithms for varied iteration numbers,population size and convergence.展开更多
提出一种基于旋转不变信号参数估计技术(Estimation of signal parameters via rotational invariance technique,ESPRIT)与模式搜索算法(Pattern search algorithm,PSA)的异步电动机转子故障检测新方法。模拟形成转子故障情况下的定子...提出一种基于旋转不变信号参数估计技术(Estimation of signal parameters via rotational invariance technique,ESPRIT)与模式搜索算法(Pattern search algorithm,PSA)的异步电动机转子故障检测新方法。模拟形成转子故障情况下的定子电流信号并以之检验ESPRIT性能。结果表明:即使对于短时信号,ESPRIT仍具备高频率分辨力,可以准确估计定子电流各个分量的频率;但对其幅值、初相角的估计欠缺准确性、稳定性。随后,采用PSA确定各个频率分量的幅值、初相角。对一台异步电动机完成了转子故障检测试验,结果表明:基于ESPRIT与PSA的异步电动机转子故障检测方法是切实可行的,并且因仅需短时信号即可达到高频率分辨力而适用于负荷波动情况。展开更多
文摘This article proposes an innovative strategy to the problem of non-linear estimation of states for electrical machine systems. This method allows the estimation of variables that are difficult to access or that are simply impossible to measure. Thus, as compared with a full-order sliding mode observer, in order to reduce the execution time of the estimation, a reduced-order discrete-time Extended sliding mode observer is proposed for on-line estimation of rotor flux, speed and rotor resistance in an induction motor using a robust feedback linearization control. Simulations results on Matlab-Simulink environment for a 1.8 kW induction motor are presented to prove the effectiveness and high robustness of the proposed nonlinear control and observer against modeling uncertainty and measurement noise.
文摘This study presented an off-line identification method of induction motor (IM) parameters. Before startup,the inverter drive performed automatically a modified DC test, a locked-rotor test, a no-load test and a step-voltage test to identify all the parameters of an induction motor. No manual operation and speed signals were required in the process. In order to obtain effective messages and improve the accuracy of identification, the discrete fast Fourier transform (DFFT) and the least-squares were used to process the signals of currents and voltages. A phase-voltage measuring method for motors was also proposed, which measured directly the actual conducting time of three upper switches in the inverter without need for a dead-time compensator. The validity, reliability and accuracy of the presented methods have been verified by the experiments on a VSI-fed IM drive system.
文摘提出一种基于旋转不变信号参数估计技术ESPRIT(Estimation of signal parameters via rotational invariance technique)、模式搜索算法PSA(Pattern search algorithm)与轻型梯度提升机LightGBM(Light gradient boosting machine)结合的感应电动机转子断条数目诊断新方法。模拟了转子断条故障下的瞬时无功功率信号并用其衡量ESPRIT-PSA的性能。结果表明:ESPRIT-PSA只需短时数据就能准确测量瞬时无功功率信号中的转子断条故障特征分量。随后,为解决现有的电机瞬时无功功率信号分析MIRPSA(Motor instantaneous reactive power signal analysis)类方法无法准确诊断转子断条数目的问题,引入LightGBM对转子断条故障进行多分类以准确诊断转子断条数目。最后针对一台异步电动机进行转子断条诊断实验,结果表明:该方法是有效的,并且因将瞬时无功功率作为分析信号而适用于电机低转差率的情况。
基金supported by the National Engineering School of Monastir, Tunisia
文摘This paper deals with the design of an output feedback predictive controller for induction motors. The fundamental interest of the proposed controller is the capability of decoupling the mechanical speed and the rotor fluxes, without degradation against the variation of rotor resistance and load torque. Hence, the contribution is to apply two estimation procedures in order to achieve this goal. Namely, an unknown input observer （UIO） is used for the constant time estimation whereas a heuristic solution is exploited for the load torque update. Moreover, rotor flux components are recovered as an unavailable state of the system. Effectiveness of the proposed observers and the performance of the controller are confirmed by simulation results.
文摘The estimated parameters accuracy of poly-phase induction motors is crucial for effective performance prediction and/or control in various manufacturing applications.This study investigates hybrid algorithm between particle swarm optimization and Jaya optimization algorithms for finding the optimal parameters estimation of poly-phase induction motors.It is carried out using the manufacturer’s operation characteristics on two poly-phase induction motors.Numerical results show the capability of the proposed hybrid optimization algorithm.The proposed algorithm has competitive performance compared with conventional algorithms as well as with differ-ential evolution and genetic algorithms.Experimental verifications are carried out on three-phase and six-phase induction motors.Also,it emulates the closeness between experimental and estimated parameters with fast con-vergence compared to other algorithms.Also,the results reflect the high robustness of the proposed algorithm compared with other algorithms for varied iteration numbers,population size and convergence.
文摘提出一种基于旋转不变信号参数估计技术(Estimation of signal parameters via rotational invariance technique,ESPRIT)与模式搜索算法(Pattern search algorithm,PSA)的异步电动机转子故障检测新方法。模拟形成转子故障情况下的定子电流信号并以之检验ESPRIT性能。结果表明:即使对于短时信号,ESPRIT仍具备高频率分辨力,可以准确估计定子电流各个分量的频率;但对其幅值、初相角的估计欠缺准确性、稳定性。随后,采用PSA确定各个频率分量的幅值、初相角。对一台异步电动机完成了转子故障检测试验,结果表明:基于ESPRIT与PSA的异步电动机转子故障检测方法是切实可行的,并且因仅需短时信号即可达到高频率分辨力而适用于负荷波动情况。
