Design and development of solar power-assisted manual/electric wheelchair

Chien, Chi-Sheng; Huang, Tung Yung; Liao, Tze Yuan; Kuo, Tsung-Yuan; Lee, Tzer Min

doi:10.1682/jrrd.2013.11.0250

Cited by 19 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The designed chair is useful for easy navigation in any environment especially in hospitals and homes. [14] highlighted the importance of utilising nonconventional energy sources such as solar and other related sources. The research presented an electrically controlled wheelchair with user-selectable manual/electric propulsion mode and an auxiliary solar power supply system.…”

Section: Electric Powered Wheelchairmentioning

confidence: 99%

Development of an Autonomous Wheelchair for The Disabled and Performance Analysis Using ANFIS Model

Okwu

Tartibu

Ayomoh

et al. 2020

Preprint

View full text Add to dashboard Cite

Navigation for persons with physical disability very often poses a major challenge to both the victims and their dedicated navigation assistance-provider. This age-long problem has been a major concern in diverse research fields in the literature ranging from assistive medicine to applied intelligence amongst others. This research work is a build-up to the literature, hence, has presented an automated wheelchair system designed, fabricated and enhanced with joystick capability for obstacle detection and autonomous stoppage. A microcontroller unit known as Arduino uno was built into the system architecture to synchronise the entire set-up by driving the DC motor for directional and linear motion of the wheel chair. The developed system would greatly improve the community of people who have lost some means of independent mobility thereby leading to an improvement in their self-esteem enabling them pursue their vocational and educational goals. Conclusively, the developed system was tested using Adaptive Neuro-Fuzzy Inference System (ANFIS), the sensitivity rule viewer at the first trial gave a total intelligence of 63.8%, further improvement was made and a second trial gave a rating of 75% and the final gave a value of approximately 80%. This shows that the system is efficient, effective and of excellent performance.

show abstract

Section: Electric Powered Wheelchairmentioning

confidence: 99%

Development of an Autonomous Wheelchair for The Disabled and Performance Analysis Using ANFIS Model

Okwu

Tartibu

Ayomoh

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The relationship among the design parameters reflects design clash and corresponding characteristics [24][25][26]. It is also useful to see how a design parameter affects the other design parameter.…”

Section: Relationship Among the Design Parametersmentioning

confidence: 99%

“…Technical importance of each design parameter was estimated by adding the results of multiplication of the user importance ratings with the corresponding correlation value [24]. For each design parameter, the absolute technical importance can be estimated using the below equation [23,25].…”

Section: Priority Estimation Of the Design Parametersmentioning

confidence: 99%

Comprehensive Needs Assessment Study and Deployment of QFD Targeted at New Wheelchair Design

Desai¹,

Mantha²,

Phalle³

2017

IRJ

View full text Add to dashboard Cite

Objectives: Extensive use of wheelchair increases caregiver dependency, risk of bedsores, risk of injury during transfer, and so on, and it effectively decreases quality of life, safety, and comfort of the people with disability. Therefore, improving the design of wheelchairs is highly essential in promoting the quality of life and level of participation among people with disability. The design of wheelchair for users of a developed country might be inadequate in comparison to a developing country such as India because the users' needs and driving conditions are completely different. Therefore, the primary objective of this study was to understand the perspective of Indian wheelchair users through comprehensive needs assessment study and to recognize the primary design parameters and to prioritize them for evidence-based design solution.Methods: A preliminary analysis was conducted through direct surveillance of wheelchairs (manual and electric) and deliberations with the healthcare professionals. Observations of this analysis were used to guide the design of the research questionnaire and interview guide. Comprehensive quantitative and qualitative data related to the design of the wheelchair were provided by a sample of 115 wheelchair users. The assessment of needs and expectations was performed by using the framework approach and with SPSS tool. Then, the data were further analyzed using Quality Function Deployment (QFD) design through House of Quality (HoQ) tool to recognize and prioritize design parameters for evidence-based design targeted at enhancement of quality of life of people with disability.Results: Four key themes emerged: 1. Difficulties in transfer from wheelchair to and from bed; 2. Difficulty to stand from seating position; 3. Problems in using commode; and 4. Risk of bedsores due to extensive use of wheelchair. Furthermore, QFD-based analysis revealed that out of 11 design parameters recommended by cross-functional team based on needs assessment study the following parameters received the highest technical importance: 1. Sit to stand transfer feature (13.90%); 2. Bedsore prevention feature (12.60%); 3. Sit to sleep transfer feature (12.00%); and 4. Adjustable backrest with multi-posture adjustment feature (11.20%). Discussion:The results of this study are useful in understanding the perspective of Indian wheelchair users' needs toward evidence-based wheelchair design. The design parameters with high absolute and relative technical importance can be selected to design new wheelchairs for Indian users in order to enhance the quality of life, comfort, and safety of people with disability.

show abstract

“…This last, takes a long time to charge in further it takes less time to discharge with no charging places in roads, and this is what prompted many researchers to find new ways to feed motors, whether developing batteries in terms of autonomy and performance [5] or terms of cycle life [5]. In other words, others decided to find other sources to support the battery, such as integrating solar panels [2], [7], [8] or integrating a fuel cell [8]- [10] to support the battery and give disabled people more freedom of movement.…”

Section: Introductionmentioning

confidence: 99%

Power management strategy based sugeno fuzzy logic rules in an electric wheelchair

Chakar

Abdelkhalek

Gasbaoui

et al. 2021

IJPEDS

View full text Add to dashboard Cite

Power management in multi-power supply electrical systems to manage the general system behavior is essential to improve autonomy and efficiency. In this paper, a proposed fuzzy-logic power management-based sugeno rule is applied in a hybrid PV/battery electric wheelchair to ameliorate the battery life cycle and the overall autonomy. Besides, the increment conductance INC MPPT is used to maximize PVpower. The electric wheelchair's general topology comprises photovoltaic energy resources as the main source and the battery energy storage system device as the auxiliary source. This hybrid power source system supplied the electric wheelchair composed two permanent magnet DC motors controlled by a PI controller. MATLAB/Simulink program is used to implement the overall control scheme. The simulation results that were obtained and the detailed study demonstrate the feasibility and performance of this intelligent strategy.

show abstract

Design and development of solar power-assisted manual/electric wheelchair

Cited by 19 publications

References 33 publications

Development of an Autonomous Wheelchair for The Disabled and Performance Analysis Using ANFIS Model

Development of an Autonomous Wheelchair for The Disabled and Performance Analysis Using ANFIS Model

Comprehensive Needs Assessment Study and Deployment of QFD Targeted at New Wheelchair Design

Power management strategy based sugeno fuzzy logic rules in an electric wheelchair

Contact Info

Product

Resources

About