2012
DOI: 10.1007/s00170-012-4656-4
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Multi-axis motion controller for robotic applications implemented on an FPGA

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Cited by 12 publications
(4 citation statements)
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“…In this sense, achieving a high-level integration and density of the used Printed Circuit Board (PCB) for the control implementation is defined as one of the most important criteria in the sector [14]. The authors in [15] discuss the block architecture and strategy that must be implemented in the FPGA to connect a speed profile to a controller.…”
Section: Introductionmentioning
confidence: 99%
“…In this sense, achieving a high-level integration and density of the used Printed Circuit Board (PCB) for the control implementation is defined as one of the most important criteria in the sector [14]. The authors in [15] discuss the block architecture and strategy that must be implemented in the FPGA to connect a speed profile to a controller.…”
Section: Introductionmentioning
confidence: 99%
“…The control algorithms have a wide spectrum of applications that are implemented on-chip FPGA-based solutions, including the motor drive control, mechatronics, and robotics. Such as for controlling of multi-unit PMSM motor drive position proposed by Sarayut et al [11], for direct visual control robotic system suggested by Aiman et al [12], for CNC applications by Jingchuan et al [13], and for robotic applications showed by Miguel et al [14]. The suggested controllers consist of implementing it into an FPGA (Field Programmable Gate Array) that allows using a specific processor hardware technology.…”
Section: Introductionmentioning
confidence: 99%
“…In the other architecture, the synchronous control algorithm is implemented in a single-core microprocessor, such as digital signal processor (DSP) or Nios embedded in field programmable gate array (FPGA). 11 A prototype of the hexapod robot was designed to achieve multi-legged coordinated movement. The complicated control algorithms are implemented using the ATmega162 microcontroller, which handles the high-level computation involving generation of the CPG signal and the inverse kinematic relations, reads, processes, and sends data from the sensors.…”
Section: Introductionmentioning
confidence: 99%