为了减小电机驱动系统中未知干扰对逆变器开路故障诊断的影响,提出了一种基于扩展观测器ESO(extended state observer)和混合逻辑动态MLD(mixed logic dynamic)模型的逆变器开路故障快速诊断方法。通过分析开关管在正常工作和故障状态...为了减小电机驱动系统中未知干扰对逆变器开路故障诊断的影响,提出了一种基于扩展观测器ESO(extended state observer)和混合逻辑动态MLD(mixed logic dynamic)模型的逆变器开路故障快速诊断方法。通过分析开关管在正常工作和故障状态下的电流流向路径,建立了逆变器的混合逻辑动态模型,并设计了一种电压扩展观测器。根据观测器的观测电压和实际系统输出电压之间的相电压残差进行故障检测,通过故障相残差与正常两相残差之间的数值关系来定位故障相和故障管。该方法有效减小了系统中未知干扰和不确定因素对逆变器故障诊断的影响,提高了故障诊断率。最后,通过Matlab/Simulink仿真验证了该方法的正确性和有效性。展开更多
In this paper, the problem of hybrid model predictive control(HMPC) strategy based on fuzzy supervisor for piecewise autoregressive with exogenous input(PWARX) models is addressed. We first represent the nonlinear beh...In this paper, the problem of hybrid model predictive control(HMPC) strategy based on fuzzy supervisor for piecewise autoregressive with exogenous input(PWARX) models is addressed. We first represent the nonlinear behavior of the system with a PWARX model. Then, we transform the obtained PWARX model into a mixed logical dynamic(MLD) model in order to apply the proposed predictive control which is able to stabilize such systems along desired reference trajectories while satisfying operating constraints.Finally, we propose to introduce a fuzzy supervisor allowing the readjustment of the HMPC tuning parameters in order to maintain the desired performance. Simulation and experimental results are presented to illustrate the effectiveness of the proposed approach.展开更多
文摘为了减小电机驱动系统中未知干扰对逆变器开路故障诊断的影响,提出了一种基于扩展观测器ESO(extended state observer)和混合逻辑动态MLD(mixed logic dynamic)模型的逆变器开路故障快速诊断方法。通过分析开关管在正常工作和故障状态下的电流流向路径,建立了逆变器的混合逻辑动态模型,并设计了一种电压扩展观测器。根据观测器的观测电压和实际系统输出电压之间的相电压残差进行故障检测,通过故障相残差与正常两相残差之间的数值关系来定位故障相和故障管。该方法有效减小了系统中未知干扰和不确定因素对逆变器故障诊断的影响,提高了故障诊断率。最后,通过Matlab/Simulink仿真验证了该方法的正确性和有效性。
文摘In this paper, the problem of hybrid model predictive control(HMPC) strategy based on fuzzy supervisor for piecewise autoregressive with exogenous input(PWARX) models is addressed. We first represent the nonlinear behavior of the system with a PWARX model. Then, we transform the obtained PWARX model into a mixed logical dynamic(MLD) model in order to apply the proposed predictive control which is able to stabilize such systems along desired reference trajectories while satisfying operating constraints.Finally, we propose to introduce a fuzzy supervisor allowing the readjustment of the HMPC tuning parameters in order to maintain the desired performance. Simulation and experimental results are presented to illustrate the effectiveness of the proposed approach.
