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Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer

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Intelligent Systems and Applications (IntelliSys 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1252))

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Abstract

The research presented in this paper describes a new architecture for controlling powered wheelchairs. A Raspberry Pi microcomputer is considered to assist in controlling direction. A Raspberry Pi is introduced between user input switches and powered wheelchair motors to create an intelligent Human Machine Interface (HCI). An electronic circuit is designed that consists of an ultrasonic sensor array and a set of control relays. The sensors delivered information about obstructions in the surrounding environment of the wheelchair. Python programming language was used to create a program that digitized the user switches output and assessed information provided by the ultrasonic sensor array. The program was installed on a Raspberry Pi and the Raspberry Pi controlled power delivered to the motors. Tests were conducted and results showed that the new system successfully assisted a wheelchair user in avoiding obstacles. The new architecture can be used to intelligently interface any input device or sensor system to powered wheelchair.

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Acknowledgment

Research in this paper was funded by EPSRC grant EP/S005927/1 and supported by The Chailey Heritage Foundation and the University of Portsmouth.

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Authors and Affiliations

  1. University of Portsmouth, Portsmouth, PO1 3DJ, UK

    Malik Haddad, David Sanders, Nils Bausch, Mohamad Thabet, Alexander Gegov, Giles Tewkesbury & Favour Ikwan

  2. Chailey Heritage Foundation, North Chailey, BN8 4EF, UK

    Martin Langner

Authors
  1. Malik Haddad
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  2. David Sanders
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  3. Martin Langner
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  4. Nils Bausch
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  5. Mohamad Thabet
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  6. Alexander Gegov
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  7. Giles Tewkesbury
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  8. Favour Ikwan
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Corresponding author

Correspondence to Malik Haddad .

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Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Haddad, M. et al. (2021). Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_44

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