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FPGA-based implementation of sensorless AC drive controllers for embedded electrical systems

机译:基于FPGA的嵌入式电气系统无传感器交流驱动控制器的实现

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The aim of this paper is to present a FPGA (Field Programmable Gate Array (FPGA) based implementation of sensorless speed controllers for an embedded aircraft electrical system composed of a Brushless Synchronous Starter/Generator (BSSG). To eliminate the mechanicals sensors, the proposed strategy provides position estimation based on two sensorless approaches depending. For very low speed and standstill, the injection of a rotating high frequency voltage in the vector control scheme is validated experimentally with BSSG. For low and high speed, an Extended Kalman Filter (EKF) algorithm is used. As first step of validation, the experimental results were performed with a Standard Synchronous Actuator (SSA). Experimental results prop up the efficiency and the interest of using FPGAs in such application. In order to evaluate the features of a system-on-chip (SoC) approach integrating a soft processor core, a HW-SW (Hardware-Software) partitioning has been performed using the EKF-based sensorless speed controller. An optimization algorithm NSGA-II (Non-dominated Sorting Genetic Algorithm) is used to find the optimal partitioning of control modules regarding constraints (time/area).
机译:本文的目的是提出一种基于FPGA(现场可编程门阵列(FPGA))的无传感器速度控制器的实现,该控制器用于由无刷同步启动器/发电机(BSSG)组成的嵌入式飞机电气系统。该策略提供了基于两种无传感器方法的位置估计,这取决于低速和静止状态,矢量控制方案中旋转高频电压的注入已通过BSSG进行了实验验证;低速和高速时,扩展卡尔曼滤波器(EKF)作为验证的第一步,实验结果是使用标准同步执行器(SSA)进行的,实验结果证明了在此类应用中使用FPGA的效率和兴趣。片上(SoC)方法集成了软处理器内核,已经使用基于EKF的传感器进行了HW-SW(硬件-软件)分区无极调速器。优化算法NSGA-II(非主导排序遗传算法)用于查找有关约束(时间/区域)的控制模块的最佳划分。

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