PWM Based Android Controlled Wheel Chair

Debnath, Tarun; Abadin, Afm Zainul; Hossain, Md. Anwar

doi:10.5121/ijcsit.2018.10205

Cited by 1 publication

(2 citation statements)

References 2 publications

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“…Therefore a limitation of a reading distance of 200 cm was carried out on the HC-SR04 ultrasound sensor for the wheelchair safety system in this study. The result of the distance reading by the HC-SR04 ultrasound sensor on the table 2 as a speed control with Pulse Width Modulation which is grouped into four, namely fast speed with the largest PWM of 92%, medium speed PWM of 84%, and slow speed PWM of 71% as in previous studies, wheelchairs with PWM control have a more linear and comfortable with the percentage of 40%, 60%, 80% and 100% however, the PWM values are given for the right and left motors from the android command [24]. With this control system, wheelchairs can move at different speeds based on the distance of the obstacles, thereby increasing the safety of users, namely at a distance of more than 150 cm fast speed, a distance between 100 cm -150 cm medium speed, and a distance of less than 100 cm slow speed.…”

Section: Discussionmentioning

confidence: 99%

“…Controlling wheelchair speed using this Android-based PWM method makes changes to motor speed more linear and comfortable for the user. However, it has a drawback, namely that the selection of motorbike speed is carried out by the user directly, this makes wheelchairs insensitive to the environment and cannot be operated by persons with special disabilities [24].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Obstacles and Areas Detection Based on Pulse Width Modulation Method for Electric Wheelchair Safety Using Ultrasound Sensors

Yulianto

Munawaroh

Triwiyanto

et al. 2021

JBBBE

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People with disabilities find it difficult to operate wheelchairs especially those with disabilities who do not have hands and feet or are disabled. The aim of this research is to improve safety control for electric wheelchairs by detecting obstacles and detecting areas that minimize collisions against obstacles. The contribution of this research is the use of the HC-SR04 ultrasound sensors to avoid a wheelchair colliding with an obstacle using the Pulse Width Modulation (PWM) method which is set based on the distance of the obstacle and the detection of free areas and corridor areas using the PWM method which is adjusted based on following the wall. The HC-SR04 ultrasound sensor is used as input and is processed on the Arduino nanomicrocontroller series to produce a value of PWM. Measuring the HC-SR04 ultrasound sensor against obstacles obtained the largest deviation of 0.72 and average 148,6 cm at a distance of 150 cm and the smallest deviation at a distance of less than 50 cm and the wheelchair can move at slow, medium and fast speeds with the measurement results on Duty Cycles of 71%, 82% and 94%. The results showed that the final distance of the wheelchair against obstacles was less than 50 cm and the wheelchair moved at a distance of 34 - 53 cm following the wall. The results of this study can control motor speed based on obstacles that can be implemented in electric wheelchairs to improve safety and ease of operation for people with disabilities.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%