Model Predictive Direct Torque Control of permanent magnet synchronous motors

Geyer, Tobias; Beccuti, Giovanni; Papafotiou, Georgios; Morari, Manfred

doi:10.1109/ecce.2010.5618044

Cited by 54 publications

(15 citation statements)

References 19 publications

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“…This paradigm has recently found applications in the electrical field such as, the control of electrical drives, power converters, and hybrid systems [14], [15]. EMPC is a computationally • To reach and maintain a reference capacitor voltage value v dc,ref .…”

Section: Vsr Model Predictive Controlmentioning

confidence: 99%

Evaluation of the new generation of system-on-chip platforms for controlling electrical systems

Sawma¹,

Khatounian²,

Ghosn³

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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This paper analyses the capacity of a new FPGAbased System-on-Chip (SoC) platform for the control of electrical systems. These new SoC platforms integrate both an FPGA fabric and a powerful processor. Among these platforms the Xilinx Zynq-7000 All Programmable (AP) System on-Chip is evaluated. The chosen algorithmic benchmark consists on a realtime simulation of a Voltage Source Rectifier (VSR) connected to the grid and supplying a resistive load. This VSR is controlled via a Model Predictive Control technique. The VSR dynamical model is implemented in the FPGA fabric of the Zynq-7000 while the predictive controller is implemented in its processing part. Both software and hardware parts of the benchmark are challenging. The model predictive control technique is computationally intensive. Moreover, the VSR model should approximate a quasi continuous-time behavior which implies that its dynamical model has to be executed at very high frequencies (10 MHz). Realtime simulation results are presented and compared with double precision off-line software simulation results.Index Terms-System-on-chip, real-time simulator, Zynq-7000 board, model predictive control, hardware/software design 978-1-4799-7800-7/15/$31.00 ©2015 IEEE

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Section: Vsr Model Predictive Controlmentioning

confidence: 99%

Evaluation of the new generation of system-on-chip platforms for controlling electrical systems

Sawma¹,

Khatounian²,

Ghosn³

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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show abstract

“…Model Predictive Control (MPC) paradigm has recently found applications in the electrical field such as, the control of electrical drives, power converters, and hybrid systems [3], [18]. In this paper, in order to test the Zynq platform by implementing a demanding control algorithm, the RLE load is controlled with the technique called EMPC.…”

Section: Rle Load Controlmentioning

confidence: 99%

Quasi-continuous real-time simulation of an RLE load with a current MPC regulation

Sawma¹,

Khatounian²,

Ghosn³

et al. 2015

2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE)

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This paper proposes a current Model Predictive Control (MPC) of an RLE load, implemented in a quasicontinuous Real-Time Simulator (RTS) on the Zynq-7000 All Programmable (AP) System-on-Chip (SoC). This device is a new platform recently introduced by Xilinx and has the benefit of integrating an FPGA fabric along with a powerful processor. The RLE load dynamical model is implemented in the FPGA fabric of the Zynq-7000 and is run at very high frequencies (50 MHz) to approximate a quasi-continuous time behavior, whereas the Model Predictive Control (MPC), which is a computationally intensive control algorithm, is implemented in the processing part. Both the RTS and MPC are challenging and allow the analysis of the hardware and software capabilities of the chosen Zynq-7000 AP SoC device. Real-time simulation results are presented and compared for validation with simulation results obtained using MATLAB.

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“…Then, each prediction is evaluated using the cost function and the state that minimizes it, is selected. This approach has been successfully applied in recent years for the control of power converters and drives, like for current control and power control for three phase Voltage Sourse Inverters [13][14] and for current and torque control for induction motor and permanent magnet motor drives [15][16][17]. Even though control of currents, torque and flux are achieved, the switching frequency is variable and not fixed.…”

Section: Introductionmentioning

confidence: 99%