电机与控制应用2018，Vol.45Issue(3)：35-40,6.
电力机车PMSM自适应模糊滑模控制
Adaptive Fuzzy SMC for PMSM on Electric Locomotives
摘要
Abstract
For the study of speed control precision of permanent magnet synchronous motor (PMSM) on electric locomotives during traction,a mathematical model of PMSM was established in the d-q coordinate system after considering unknown radially time-varying load torque of wheelset generated by wheel rail contact irregularity and static weight of locomotive body.Nonlinear torque observer (NTO) was designed to estimate the actual value of the time-varying torque with the observation error approached by adaptive fuzzy logic system.According to the Lyapunov stability theory,adaptive fuzzy sliding mode controller with NTO was constructed after the introduction of Nussbaum function in voltage controller of d axis for the investigation of influence of zero crossing of d axis voltage on speed control and torque observation.Theoretical analyses and simulation results demonstrate that the PMSM speed control system on electric locomotives has closed loop bounded error output against zero crossing of d axis voltage and unknown time-varying torque on the railway whose observation error is constricted to 0.关键词
电力机车/永磁同步电机/非线性转矩观测器/自适应模糊逻辑系统/Nussbaum函数/自适应模糊滑模控制Key words
locomotive/permanent magnet synchronous motor/nonlinear torque observer/adaptive fuzzy logic system/Nussbaum function/adaptive fuzzy sliding mode control分类
信息技术与安全科学引用本文复制引用
刘芳璇,娄刘娟,虞梦月,王晓琴,王桂荣..电力机车PMSM自适应模糊滑模控制[J].电机与控制应用,2018,45(3):35-40,6.基金项目
国家自然科学基金项目(61640314) （61640314）
浙江省自然科学基金项目(LY15F030012) （LY15F030012）
西安铁路职业技术学院2017年度立项课题“基于趋近律滑模的机车PMSM控制方案研究”(XTZY17G01) （XTZY17G01）
