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Intelligent control of an interior permanent magnet synchronous motor drive.

机译:智能控制内部永磁同步电动机驱动器。

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摘要

Novel speed control techniques using intelligent computation algorithms for the interior permanent magnet synchronous motor (IPMSM) to be used in high performance drive (HPD) systems are presented. In HPD systems, fast and accurate speed response and quick recovery of speed from any uncertain disturbance are of critical importance. The vector control technique is used in this work to obtain the highest torque response for the IPMSM drive. In the vector control scheme, both the current and the speed controllers play an important role for the drive performance.; In order to select a suitable current controller, a current controlled voltage source inverter (VSI) fed IPMSM drive is developed and implemented in real-time. The performance of various current controllers, particularly hysteresis and ramp comparator controllers for the IPMSM drive, are investigated both theoretically and experimentally. A comparison is also made among the current controller performances for the IPMSM drive.; In this work, the control of the IPMSM over a wide speed range incorporating the flux weakening operation is also presented. The scheme incorporates the maximum torque per ampere operation in the constant torque region and the flux-weakening operation in the constant power region. The performance of this proposed technique is evaluated by simulation results as well as by experimental results. A comparison between the flux-weakening control technique and the conventional constant flux control scheme is also presented.; An integral part of this work is directed to develop and implement a fuzzy logic controller (FLC) for the IPMSM drive in order to overcome the unknown and/or nonlinear disturbances such as sudden load change, parameter variations, step change of command speed and system noise, etc. A specific FLC for the IPMSM is developed from the motor dynamics and nonlinear load characteristics. The complete vector control scheme incorporating the FLC is successfully implemented in real-time using the digital signal processor (DSP) board DS1102 for the laboratory 1 hp interior type permanent magnet motor. In order to achieve the better switching performance for the current controlled VSI, an insulated gate bipolar transistor (IGBT) inverter module and its associated drive circuits are also built in the Power Research Laboratory of Memorial University of Newfoundland. Numerous tests are carried out for the IPMSM drive at different dynamic operating conditions to evaluate the efficacy of the fuzzy logic controller. The experimental results validate the robustness and hence justify the applicability of the FLC for the IPMSM drive to be used in high performance drive applications. In order to prove the superiority of the FLC over the conventional controllers a comparison between the proposed FLC based system and the conventional proportional-integral (PI) controller-based system is made based on experimental results at different dynamic operating conditions. There is an excellent agreement between the simulated and the experimental results for the FLC based system.
机译:提出了使用智能计算算法的新型速度控制技术,以用于高性能驱动(HPD)系统中的内部永磁同步电动机(IPMSM)。在HPD系统中,快速准确的速度响应以及从任何不确定的干扰中快速恢复速度至关重要。在这项工作中使用矢量控制技术来获得IPMSM驱动器的最高扭矩响应。在矢量控制方案中,电流控制器和速度控制器都对驱动器性能起着重要作用。为了选择合适的电流控制器,实时开发并实施了由电流控制的电压源逆变器(VSI)供电的IPMSM驱动器。理论上和实验上都研究了各种电流控制器的性能,尤其是IPMSM驱动器的磁滞和斜坡比较器控制器。还对IPMSM驱动器的当前控制器性能进行了比较。在这项工作中,还介绍了结合磁通弱化操作的IPMSM的宽速控制。该方案将恒定转矩区域中的每安培操作的最大转矩与恒定功率区域中的磁通减弱操作结合在一起。通过仿真结果和实验结果评估了该提议技术的性能。还给出了弱磁通控制技术与常规恒磁通控制方案之间的比较。这项工作的主要内容是针对IPMSM驱动器开发并实施模糊逻辑控制器(FLC),以克服未知和/或非线性干扰,例如突然的负载变化,参数变化,命令速度和系统的阶跃变化IPMSM的特定FLC是根据电动机动力学和非线性负载特性开发的。使用数字信号处理器(DSP)板DS1102针对实验室1 hp内装式永磁电动机成功地实时实施了包含FLC的完整矢量控制方案。为了在电流控制的VSI中获得更好的开关性能,纽芬兰纪念大学的电源研究实验室还构建了绝缘栅双极晶体管(IGBT)逆变器模块及其相关的驱动电路。针对IPMSM驱动器在不同的动态运行条件下进行了大量测试,以评估模糊逻辑控制器的功效。实验结果验证了鲁棒性,因此证明了FLC对于IPMSM驱动器在高性能驱动器应用中的适用性。为了证明FLC优于常规控制器,基于不同动态操作条件下的实验结果,对基于FLC的系统与基于常规比例积分(PI)的系统进行了比较。对于基于FLC的系统,仿真结果与实验结果之间有很好的一致性。

著录项

  • 作者

    Uddin, Mohammad Nasir.;

  • 作者单位

    Memorial University of Newfoundland (Canada).;

  • 授予单位 Memorial University of Newfoundland (Canada).;
  • 学科 Engineering Electronics and Electrical.; Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 213 p.
  • 总页数 213
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;人工智能理论;
  • 关键词

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