Programmable Logic Devices for Motion Control—A Review

Dubey, Rahul; Agarwal, P.; Vasantha, M.K.

doi:10.1109/tie.2006.885452

Cited by 60 publications

(20 citation statements)

References 35 publications

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“…The Figure 1, indicated with the SRF mechanism [11][12][13] In the Figure 2, current reference (C-R) generator is discussed which is having 3φ load current and is transformed as dqz vector forms.…”

Section: Apf Configurationmentioning

confidence: 99%

Performance Enhancement in Active Power Filter (APF) by FPGA Implementation

Shamala

Lakshminarayana²

2018

IJECE

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The generated electrical power in present days is not able to meet its end-user requirement as power demand is gradually increasing and expected to be increasing more in future days. In the power quality management, the parameters/factors like harmonic currents (HC) and reactive power (RP) yields the major issues in the power distribution units causing transformer heating, line losses, and machine vibration. To overcome these issues, several control mechanisms have been presented and implemented in recent past. The control algorithm based on synchronous reference frame (SRF) offers a better response by dividing the HC and RP. But the SRF based control algorithm requires better synchronization among the utility voltage and input current. To achieve this, the existing researches have used digital signal processing (DSP) and microcontroller, but these systems fail to provide better performance as they face issues like limited sampling time, less accuracy, and high computational complexity. Thus, to enhance the performance of active power filter (APF), we present an FPGA based approach. Also, to validate the performance of the proposed approach, we have used Xilinx 14.7 and Modelsim (6.3f) simulator and compared with other previous work. From the results analysis, it is found that the approach has good performance.

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Section: Apf Configurationmentioning

confidence: 99%

Performance Enhancement in Active Power Filter (APF) by FPGA Implementation

Shamala

Lakshminarayana²

2018

IJECE

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“…However, we can briefly mention some successful applications of FPGA devices, for instance, as power conversion controllers (as pulse width-modulation (PWM) inverters [24,25] and multilevel converters [26,27]). Uses can also be found in the control of electrical machines and in robotics applications (induction machine drives [28,29] and motion control [30,31]). More recently, reconfigurable devices have been increasingly finding applications as means for implementing hardware-in-the-loop platforms [32,33] for debugging purposes principally but increasingly as a means to emulate subcomponents of larger systems.…”

Section: Trends In the Use Of Fpgas For Implementing Iedsmentioning

confidence: 99%

Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform

Ochoa-Ruiz

Bevan

Lamotte

et al. 2017

International Journal of Reconfigurable Computing

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We present an architecture for accelerating the processing and execution of control commands in an ultrafast fiber placement robot. The system consists of a robotic arm designed by Coriolis Composites whose purpose is to move along a surface, on which composite fibers are deposed, via an independently controlled head. In first system implementation, the control commands were sent via Profibus by a PLC, limiting the reaction time and thus the precision of the fiber placement and the maximum throughput. Therefore, a custom real-time solution was imperative in order to ameliorate the performance and to meet the stringent requirements of the target industry (avionics, aeronautical systems). The solution presented in this paper is based on the use of a SoC FPGA processing platform running a real-time operating system (FreeRTOS), which has enabled an improved comamnd retrieval mechanism. The system's placement precision was improved by a factor of 20 (from 1 mm to 0.05 mm), while the maximum achievable throughput was 1 m/s, compared to the average 30 cm/s provided by the original solution, enabling fabricating more complex and larger pieces in a significant fraction of the time.

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“…Many state-of-the-art industrial electronic systems are known to rely on FPGA prototyping, such as [3] and [4]. Dubey et al [5] reviewed the application of FPGAs and other programmable logic devices in power electronics and motion control not only as prototyping platforms but also as final implementation platforms. Such acceptance is due to the higher performance of FPGA implementations when compared with solutions based on microcontroller or DSP processors, or the lower cost compared with the fabrication of custom hardware.…”

Section: Integrated Electronic Systems Design Flowmentioning

confidence: 99%

On the Evolution of Remote Laboratories for Prototyping Digital Electronic Systems

Indrusiak

Glesner

Reis

2007

IEEE Trans. Ind. Electron.

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Abstract-The design of digital electronic systems for industrial applications can benefit in many ways from the prototyping capabilities of field-programmable gate array (FPGA) platforms. This paper presents three evolutionary releases of an FPGA-based remote laboratory and discusses the didactical and technical motivations behind each release, aiming to reduce the overhead of setting up and operate a laboratory environment where designers and students can use FPGA prototyping to validate their designs. To achieve that, a number of abstraction layers were introduced, allowing configuration and data processing in remote FPGA platforms, as well as integrating such platforms within a simulation environment. The proposed approach supported a number of projects where groups of designers and students could specify, refine, and prototype electronic systems using a pool of remotely available FPGA platforms.Index Terms-Design automation, field-programmable gate arrays (FPGAs), integrated circuit design, remote laboratories.

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Programmable Logic Devices for Motion Control—A Review

Cited by 60 publications

References 35 publications

Performance Enhancement in Active Power Filter (APF) by FPGA Implementation

Performance Enhancement in Active Power Filter (APF) by FPGA Implementation

Real-Time Control System for Improved Precision and Throughput in an Ultrafast Carbon Fiber Placement Robot Using a SoC FPGA Extended Processing Platform

On the Evolution of Remote Laboratories for Prototyping Digital Electronic Systems

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