Impact Responses and Parameters Sensitivity Analysis of Electric Wheelchairs

The shock and vibration of electric wheelchairs undergoing road irregularities is inevitable. The road excitation causes the uneven magnetic gap of the motor, and the harmful vibration decreases the recovery rate of rehabilitation patients. To effectively suppress the shock and vibration, this paper introduces the DA (dynamic absorber) to the electric wheelchair. Firstly, a vibration model of the human-wheelchair system with the DA was created. The models of the road excitation for wheelchairs going up a step and going down a step were proposed, respectively. To reasonably evaluate the impact level of the human-wheelchair system undergoing the step–road transition, evaluation indexes were given. Moreover, the created vibration model and the road–step model were validated via tests. Then, to reveal the vibration suppression performance of the DA, the impact responses and the amplitude frequency characteristics were numerically simulated and compared. Finally, a sensitivity analysis of the impact responses to the tire static radius r and the characteristic parameters was carried out. The results show that the DA can effectively suppress the shock and vibration of the human-wheelchair system. Moreover, for the electric wheelchair going up a step and going down a step, there are some differences in the vibration behaviors.

[1]  Molly Hischke,et al.  Effect of Rear Wheel Suspension on Tilt‐in‐Space Wheelchair Shock and Vibration Attenuation , 2018, PM & R : the journal of injury, function, and rehabilitation.

[2]  Seong-Whan Lee,et al.  Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Gina Bertocci,et al.  Development and validation of rear impact computer simulation model of an adult manual transit wheelchair with a seated occupant. , 2010, Medical engineering & physics.

[4]  Chandimal Jayawardena,et al.  A navigation model for side-by-side robotic wheelchairs for optimizing social comfort in crossing situations , 2018, Robotics Auton. Syst..

[5]  A. Frank,et al.  Clinical features of children and adults with a muscular dystrophy using powered indoor/outdoor wheelchairs: disease features, comorbidities and complications of disability* , 2018, Disability and rehabilitation.

[6]  Oishee Mazumder,et al.  Design and Performance Evaluation of 4 Wheeled Omni Wheelchair with Reduced Slip and Vibration , 2017 .

[7]  Bing-Fei Wu,et al.  A New Criterion of Human Comfort Assessment for Wheelchair Robots by Q-Learning Based Accompanist Tracking Fuzzy Controller , 2016, Int. J. Fuzzy Syst..

[8]  James Hollington,et al.  Correlation of ISO 16840-2:2007 impact damping and hysteresis measures for a sample of wheelchair seating cushions , 2018, Assistive technology : the official journal of RESNA.

[9]  Kazuto Miyawaki,et al.  Investigation of whole-body vibration of passenger sitting on wheelchair and of passenger sitting on wheelchair loaded on lifter , 2016, 2016 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

[10]  Pedro Ponce,et al.  A fuzzy logic navigation controller implemented in hardware for an electric wheelchair , 2018 .

[11]  Jenny Downs,et al.  Quality of Life and Psychosocial Well-Being in Youth With Neuromuscular Disorders Who Are Wheelchair Users: A Systematic Review. , 2017, Archives of physical medicine and rehabilitation.

[12]  Róbert Huňady,et al.  Application of a Magneto-rheological Damper and a Dynamic Absorber for a Suspension of a Working Machine Seat☆ , 2014 .

[13]  Ian M. Mitchell,et al.  Data logger technologies for manual wheelchairs: A scoping review , 2018, Assistive technology : the official journal of RESNA.

[14]  Muhammad Fathul Hikmawan,et al.  Analysis of electric wheelchair passanger comfort with a half car model approach , 2016, 2016 International Conference on Sustainable Energy Engineering and Application (ICSEEA).

[15]  Kuo-Ho Su,et al.  Design of fuzzy-based magnetic suspension vibrator for electric wheelchair , 2015, 2015 IEEE 12th International Conference on Networking, Sensing and Control.

[16]  N. Ababou,et al.  Test Bench for Analysis of Harmful Vibrations Induced to Wheelchair Users , 2014, BIODEVICES.

[17]  Shyamanta M. Hazarika,et al.  A cognitively enhanced collaborative control architecture for an intelligent wheelchair: Formalization, implementation and evaluation , 2018, Cognitive Systems Research.

[18]  XiaoQi Chen,et al.  System Identification and Modelling of Front Wheel Drive Electric Wheelchairs , 2008 .

[19]  Shuyi Wang,et al.  [Preliminary Study on Comfortableness of Motorized Wheelchair Cushion]. , 2016, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.

[20]  Marcello Farina,et al.  Model Predictive Control of an autonomous wheelchair , 2017 .

[21]  Ziming Qi,et al.  A Human-Centered Design of Electric Wheelchair Controller With Dual Control Access for Both Drivers of Disabled People and Caregiver , 2017, J. Comput. Inf. Sci. Eng..

[22]  Angelo Di Egidio,et al.  Effectiveness of mass–damper dynamic absorber on rocking block under one-sine pulse ground motion , 2018 .

[23]  Robert Waters,et al.  Influence of hand-rim wheelchairs with rear suspension on seat forces and head acceleration during curb descent landings. , 2009, Journal of rehabilitation medicine.

[24]  Jill L. McNitt-Gray,et al.  Modeling Wheelchair-Users Undergoing Vibrations , 2013 .

[25]  Patricia Karg,et al.  An MRI investigation of the effects of user anatomy and wheelchair cushion type on tissue deformation. , 2017, Journal of tissue viability.

[26]  Rafael Arnay,et al.  Laser and Optical Flow Fusion for a Non-Intrusive Obstacle Detection System on an Intelligent Wheelchair , 2018, IEEE Sensors Journal.

[27]  Rory A Cooper,et al.  Health risks of vibration exposure to wheelchair users in the community , 2013, The journal of spinal cord medicine.

[28]  L C A Silva,et al.  Measurement of wheelchair contact force with a low cost bench test. , 2016, Medical engineering & physics.

[29]  Nikolaos G. Bourbakis,et al.  Assistive Intelligent Robotic Wheelchairs , 2017, IEEE Potentials.

[30]  M. Kromka-Szydek,et al.  Vibration transmitted on the human body during the patient’s ride in a wheelchair , 2017 .

[31]  F K Fuss,et al.  A fundamental model of quasi-static wheelchair biomechanics. , 2012, Medical engineering & physics.