Development of Embedded Speed Control System for DC Servo Motor using Wireless Communication Article Swipe
Santosh Mohan Rajkumar
,
Sayan Chakraborty
,
Rajeeb Dey
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1912.00337
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1912.00337
In this experiment, a closed-loop discrete time system for speed control of a permanent magnet DC motor with discrete PI controller is implemented in embedded platform. The design & analysis of the system is based on the mathematical model of the DC motor obtained by system identification technique. After that the closed loop system is distributed through a wireless network created by means of Bluetooth without any change in the discrete controller. The network connects the controller on one side with the sensor, actuator & the plant on the other side. Then the performance of the closed loop system is observed with the wireless network in two configurations : with point-to-point connection between two nodes and a network structure with two intermediate nodes among the controller side node & the plant side node. It has been observed that the performance degrades with only the PI controller a little bit in point to point configuration and the performance severely degrades in intermediate node configuration. To tackle this issue time delay is measured in the WNCS and then a digital smith predictor structure is implemented to obtain better performance. It has been observed that in point to point configuration the time delay remains almost constant and in intermediate node configuration the time delay is varying. Hence the digital smith predictor fails to perform reasonably in intermediate node configuration. An online time delay measurement & estimation procedure has been implemented and proposed in this research. We have implemented an adaptive digital smith predictor using the online time delay measurement and identification. The implemented smith predictor provides good results for both intermediate node and point to point connection. An stability analysis of the DC motor system with variation of delay has been discussed.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1912.00337
- https://arxiv.org/pdf/1912.00337
- OA Status
- green
- Cited By
- 2
- References
- 19
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2990802760
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2990802760Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.1912.00337Digital Object Identifier
- Title
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Development of Embedded Speed Control System for DC Servo Motor using Wireless CommunicationWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-12-01Full publication date if available
- Authors
-
Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb DeyList of authors in order
- Landing page
-
https://arxiv.org/abs/1912.00337Publisher landing page
- PDF URL
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https://arxiv.org/pdf/1912.00337Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1912.00337Direct OA link when available
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Node (physics), Bluetooth, Controller (irrigation), Control theory (sociology), Computer science, Wireless, Real-time computing, Engineering, Control (management), Artificial intelligence, Telecommunications, Agronomy, Structural engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.system | 7, 32, 45, 53, 98, 281 |
| abstract_inverted_index.tackle | 164 |
| abstract_inverted_index.between | 112 |
| abstract_inverted_index.control | 10 |
| abstract_inverted_index.created | 60 |
| abstract_inverted_index.digital | 177, 215, 247 |
| abstract_inverted_index.network | 59, 73, 104, 117 |
| abstract_inverted_index.perform | 220 |
| abstract_inverted_index.remains | 200 |
| abstract_inverted_index.results | 264 |
| abstract_inverted_index.sensor, | 82 |
| abstract_inverted_index.through | 56 |
| abstract_inverted_index.without | 65 |
| abstract_inverted_index.actuator | 83 |
| abstract_inverted_index.adaptive | 246 |
| abstract_inverted_index.analysis | 29, 276 |
| abstract_inverted_index.connects | 74 |
| abstract_inverted_index.constant | 202 |
| abstract_inverted_index.degrades | 140, 158 |
| abstract_inverted_index.discrete | 5, 18, 70 |
| abstract_inverted_index.embedded | 24 |
| abstract_inverted_index.measured | 170 |
| abstract_inverted_index.observed | 100, 136, 190 |
| abstract_inverted_index.obtained | 43 |
| abstract_inverted_index.proposed | 238 |
| abstract_inverted_index.provides | 262 |
| abstract_inverted_index.severely | 157 |
| abstract_inverted_index.varying. | 212 |
| abstract_inverted_index.wireless | 58, 103 |
| abstract_inverted_index.Bluetooth | 64 |
| abstract_inverted_index.permanent | 13 |
| abstract_inverted_index.platform. | 25 |
| abstract_inverted_index.predictor | 179, 217, 249, 261 |
| abstract_inverted_index.procedure | 233 |
| abstract_inverted_index.research. | 241 |
| abstract_inverted_index.stability | 275 |
| abstract_inverted_index.structure | 118, 180 |
| abstract_inverted_index.variation | 283 |
| abstract_inverted_index.connection | 111 |
| abstract_inverted_index.controller | 20, 76, 125, 145 |
| abstract_inverted_index.discussed. | 288 |
| abstract_inverted_index.estimation | 232 |
| abstract_inverted_index.reasonably | 221 |
| abstract_inverted_index.technique. | 47 |
| abstract_inverted_index.closed-loop | 4 |
| abstract_inverted_index.connection. | 273 |
| abstract_inverted_index.controller. | 71 |
| abstract_inverted_index.distributed | 55 |
| abstract_inverted_index.experiment, | 2 |
| abstract_inverted_index.implemented | 22, 182, 236, 244, 259 |
| abstract_inverted_index.measurement | 230, 255 |
| abstract_inverted_index.performance | 93, 139, 156 |
| abstract_inverted_index.intermediate | 121, 160, 205, 223, 267 |
| abstract_inverted_index.mathematical | 37 |
| abstract_inverted_index.performance. | 186 |
| abstract_inverted_index.configuration | 153, 196, 207 |
| abstract_inverted_index.configuration. | 162, 225 |
| abstract_inverted_index.configurations | 107 |
| abstract_inverted_index.identification | 46 |
| abstract_inverted_index.point-to-point | 110 |
| abstract_inverted_index.identification. | 257 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.56352303 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |