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Design of Electric Wheelchair Using Pulse Width Modulation (PWM) Method Nisa, Fidyatun; Abdullah, Dahlan; Akhyar, Daniel
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.638

Abstract

An electric wheelchair is an essential mobility device for individuals with physical disabilities. Unlike traditional manual wheelchairs, which can be challenging for users to operate independently, an innovative PWM (Pulse Width Modulation) based electric wheelchair has been developed and tested. This wheelchair employs an Arduino Uno microcontroller, ultrasonic sensors, joystick input, and motor drivers to control speed and direction effectively. The system utilizes PWM to adjust the motor speed in proportion to the joystick input. Testing demonstrated that the wheelchair's motor responds efficiently to changes in PWM values. Additionally, the system successfully stops the motor when obstacles are detected within 80 centimeters. The ultrasonic sensors demonstrated an impressive measurement accuracy, with an average error of only 1%. Moreover, increasing the PWM values resulted in faster wheelchair speeds, showcasing the system’s ability for responsive speed control. This design provides an affordable and effective solution to improve mobility for users with disabilities.
Analisis Kinerja Sistem Pengendali Kursi Roda Elektrik Berbasis Pulse Width Modulation (PWM) terhadap Variasi Beban dan Evaluasi Penggunaan Energi Akhyar, Daniel; Aqsa, Faizil Al; Yusuf, M.; Afrizal, Ari
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6370

Abstract

The aim of this research is to determine the effect of different PWM values on speed, current, power, and energy consumption of the wheelchair under various loads. The system was developed using an Arduino Uno as the main controller, a joystick for direction and speed control, an ultrasonic sensor to detect obstacles, and DC motors as the actuators. Tests were conducted with load variations ranging from 40 kg to 80 kg and PWM values from 40 to 120. The test results show that as the PWM value increases, the wheelchair’s speed also increases, but energy consumption rises accordingly. However, within the PWM range of 80 to 100, the system operates most efficiently since energy consumption does not increase significantly compared to the gain in speed. Based on these findings, the PWM-based electric wheelchair control system is considered effective, efficient, and stable under varying load conditions, making it a promising approach for the design of energy-efficient automatic wheelchairs.