FPGA-Based Current Controllers for AC Machine Drives—A Review

Naouar, Mohamed Wissem; Naassani, A.A.; Slama‐Belkhodja, Ilhem; Patin, Nicolas

doi:10.1109/tie.2007.898302

Cited by 242 publications

(100 citation statements)

References 23 publications

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“…The high-speed computing performance of FPGA makes the time delay only 7.4 µs from current sampling to PWM updating, accounting for 7.4% of the sampling period. Therefore, the instant duty cycle update strategy mentioned in [4] is used in this experiment.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…(5) are applied to the actual motor, and the actual motor current response can be presented by Equ. (4). The following equations can be obtained by applying Equ.…”

Section: Parameter Sensitivity Analysismentioning

confidence: 99%

“…A high-performance PMSM servo system requires a fast-response current inner loop to ensure the high performance of speed and position loops. The traditional control methods of current loop include current hysteresis control and proportional-integral (PI) control [3], [4]. Current hysteresis control has the problems of variable switching frequency and large steady ripple.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

Li¹,

Wang²,

Ji³

et al. 2016

Journal of Power Electronics

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The inaccurate model parameters in the predictive current control of surface-mounted permanent magnet synchronous motor (SMPMSM) affect the current dynamic response and steady-state error. This paper presents a model parameter correction algorithm based on the relationship between the errors of model parameters and the static errors of dq-axis current. In this correction algorithm, the errors of inductance and flux are corrected in two steps. Resistance is ignored. First, the proportional relations between inductance and d-axis static current errors are utilized to correct the error of model inductance. Second, the flux is corrected by utilizing the proportional relations between flux and q-axis static current errors under the condition that inductance is corrected. An experimental study with a 100 W SMPMSM is performed to validate the proposed algorithm.

show abstract

Section: Experimental Results and Analysismentioning

confidence: 99%

“…(5) are applied to the actual motor, and the actual motor current response can be presented by Equ. (4). The following equations can be obtained by applying Equ.…”

Section: Parameter Sensitivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Parameter Correction Algorithm for Predictive Current Control of SMPMSM

Li¹,

Wang²,

Ji³

et al. 2016

Journal of Power Electronics

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show abstract

“…FPGA based systems and simulators are found in various domains like defense (Gonzalez et al, 2008), medical (Monmasson and Cirstea, 2007), renewable energy (Ouhrouche, 2009), physics and the control of industrial process (Salem et al, 2010;Idkhajine et al, 2008;Naouar et al, 2007). However, implementing complex algorithms in FPGA-based systems can be a laborious work.…”

Section: Introductionmentioning

confidence: 99%

Design of Field Programmable Gate Array Based Emulators for Motor Control Applications

Taha¹

2012

American Journal of Applied Sciences

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Problem statement: Field Programmable Gate Array (FPGA) circuits play a significant role in major recent embedded process control designs. However, exploiting these platforms requires deep hardware conception skills and remains an important time consuming stage in a design flow. High Level Synthesis technique avoids this bottleneck and increases design productivity as witnessed by industry specialists. Approach: This study proposes to apply this technique for the conception and implementation of a Real Time Direct Current Machine (RTDCM) emulator for an embedded control application. Results: Several FPGA-based configuration scenarios are studied. A series of tests including design and timing-precision analysis were conducted to discuss and validate the obtained hardware architectures. Conclusion/Recommendations: The proposed methodology has accelerated the design time besides it has provided an extra time to refine the hardware core of the DCM emulator. The high level synthesis technique can be applied to the control field especially to test with low cost and short delays newest algorithms and motor models.

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“…1) and iii) hardware reconfigurability. The first feature, high processing speed, enables a reduction in execution times of the motor control algorithm, which can been explored to increase the bandwidth of torque control (Takahashi & Goetz, 2004) and decrease the discretization effects of some control and estimation techniques (Delli Colli et al, 2010;Naouar et al, 2007). Similarly, the FPGA parallelism and modularity features open up new possibilities to incorporate multi-motor control in a single chip, a useful property in multi-axis robotic manipulator arm (Jung Uk et al, 2009) and in process control applications (Tazi et al, 1999), and develop fault tolerant control systems with physical redundancy (Seo et al, 2010).…”

Section: Introductionmentioning

confidence: 99%