2014 9th IEEE Conference on Industrial Electronics and Applications 2014
DOI: 10.1109/iciea.2014.6931123
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Benefits of an FPGA based SRM controller

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Cited by 20 publications
(8 citation statements)
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“…Finally, the low speed condition is performed with the speed command of 3 rpm, the position and current responses are shown in Figures 19 and 20, respectively. With the position response of Figure 19, the speed is calculated as follows: (11) However, in the low speed range, the speed is calculated by measuring the period of the encoder pulse instead of the frequency. Furthermore, as the command is from the pulse string generator to the position controller, once the position error is very close to zero, the speed control loop will be skipped, and the current command will come directly from the position controller.…”
Section: The Experimental Results and Discussionmentioning
confidence: 99%
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“…Finally, the low speed condition is performed with the speed command of 3 rpm, the position and current responses are shown in Figures 19 and 20, respectively. With the position response of Figure 19, the speed is calculated as follows: (11) However, in the low speed range, the speed is calculated by measuring the period of the encoder pulse instead of the frequency. Furthermore, as the command is from the pulse string generator to the position controller, once the position error is very close to zero, the speed control loop will be skipped, and the current command will come directly from the position controller.…”
Section: The Experimental Results and Discussionmentioning
confidence: 99%
“…Finally, the low speed condition is performed with the speed command of 3 rpm, the position and current responses are shown in Figures 19 and 20, respectively. With the position response of Figure 19, the speed is calculated as follows: ω = ∆θ ∆T = 1.2868 4.2 = 0.306 rad/s = 2.92 rpm (11) In viewing those experimental results, one has demonstrated the performance for high, medium, and low speed commands, and the performances for different position/speed requirements are fitted to those desired through the closed-loop position and speed control. Figure 21, where the acceleration and deceleration are and , respectively, and the maximum velocity is 300 rpm.…”
Section: The Experimental Results and Discussionmentioning
confidence: 99%
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“…Furthermore, the proposed system uses a new MLUT approach to implement VDC PWM‐based MPPT, thus results in reduced memory size when compared with classical two dimensional (2D) lookup table (LUT). The FPGA technology can be used to realise the control techniques since it provides fast realisation of non‐linearity in SRM with parallel computational ability when compared with conventional digital signal processors (DSP) [16–19]. Therefore, FPGA technology is used to realise the prototype of the proposed system.…”
Section: Direct Pv‐fed Srm‐wps Using Pwm Mppt Controlmentioning
confidence: 99%
“…Compared to microcontroller systems traditionally employed to enable real-time applications in electric drives [1][2][3][4], FPGAs generally provide the advantages of a significantly more flexible architecture with unconstrained input/output interfaces, high compatibility levels across different platforms and increased processing speed. While realtime FPGA based solutions have been researched for implementation of drive control algorithms [5][6] they received significantly less attention where drive parameter estimation techniques are concerned [1][2][3][4]. This work reports the implementation procedure of an FPGA based velocity estimation technique for an induction motor drive and illustrates its performance on a practical commercial system.…”
Section: Introductionmentioning
confidence: 99%