Enhancing Microcomputer Edge Computing for Autonomous IoT Motion Control

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Block schematic for the proposed PMDC motor prototype
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Published: Apr 4, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i3.6202
Keywords:
Controller, Internet of Things, Edge Computing, Pipeline, Dynamic pipeline stages, Embedded system, Motor

Main Article Content

S. Bangaru Kamatchi
Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, Tamilnadu, India
Vaishali N. Agme
Assistant Professor, Department of Applied Science, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Navi Mumbai, Maharashtra, India
S. Premkumar
Assistant Professor, Department of Computer Science and Engineering, Galgotias University, Gautam Buddha Nagar, Greater Noida, Uttar Pradesh, India
KDV Prasad
Assistant Professor (Research), Symbiosis Institute of Business Management, Hyderabad, Symbiosis International (Deemed University), Pune, India
Dankan Gowda V
Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India
I Gugan
Assistant Professor, Department of CSE, Dr NGP Institute of Technology, Coimbatore, Tamilnadu, India

Abstract

Devices microprocessors, microcontrollers, and Field Programmable Gate Arrays (FPGA) play the core rule at the IoT edge level and it should be right provisioned. For proper controller performance, control algorithms should be implemented near the actuator eliminating the delay effects. In the IoT domain, this means to implement the mentioned algorithm at the edge level and prior data transmitting. The efficient IoT-enabled motion control can be obtained by considering two main factors; the first factor is from the actuator design point of view and the second factor is from the controller performance point of view. Therefore, in this article, the two mentioned factors are treated concerning the microprocessor rule and importance as a core for proper prototype design and as the main platform to implement the control algorithms. A comparison of controller performance indices for both prototypes is done using previously distributed motion control schemes and newly developed schemes after tuning the respective schemes gains in an optimal manner. The scheme with better behavior of both prototypes are selected for the IoT integration process, this scheme ensures optimal edge computing for the distributed motion control, making the implementation of all control computation take place at the IoT-edge level. As a result, the dynamic pipeline stages (DPS) based prototype gives better controller performance indices for most strategies, less power consumption, and optimally utilized resources encouraging the use of the microprocessors with reconfigurable components at the IoT-edge level.

Article Details

How to Cite
Kamatchi, S. B. ., Agme, V. N. ., Premkumar, S., Prasad, K. ., V, D. G. ., & Gugan, I. . (2023). Enhancing Microcomputer Edge Computing for Autonomous IoT Motion Control. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 58–67. https://doi.org/10.17762/ijritcc.v11i3.6202
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Vol. 11 No. 3 (2023): March (2023) Issue
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Articles

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