Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic
Jamin, NF, Ghani, NMA, Ibrahim, Z, Nasir, ANK, Rashid, M. and Tokhi, M.O. (2020). Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic. Journal of Low Frequency Noise Vibration and Active Control.
|Authors||Jamin, NF, Ghani, NMA, Ibrahim, Z, Nasir, ANK, Rashid, M. and Tokhi, M.O.|
The control schemes of a wheelchair having two-wheels with movable payload utilizing the concept of a double-link inverted pendulum have been investigated in this article. The proposed wheelchair has been simulated using SimWise 4D software considering the most efficient parameters. These parameters are extracted using the spiral dynamic algorithm (SDA) while being controlled with interval type-2 fuzzy logic controller (IT2FLC). The robustness and stability of the implemented controller are assessed under different situations including standing upright, forward motion and application of varying directions and magnitudes of outer disturbances to movable (up and down) system payload. It is shown that the two-wheeled wheelchair adopted by the newly introduced controller has achieved a 94 percent drop in torque for both Link1 and Link2 and more than 98 percent fall in distance traveled in comparison with fuzzy logic control type-1 (FLCT1) controller employed in an earlier design. The present study has further considered the increased non-linearity and complexity of the additional moving payload. From the outcome of this study, it is obvious that the proposed IT2FLC-SDA demonstrates batter performance than FLCT1 to manage the uncertainties and non-linearities in case of a movable payload two-wheel wheelchair system.
|Keywords||Two-wheeled wheelchair; Stability; Fuzzy Logic; Spiral Dynamic Algorithm|
|Journal||Journal of Low Frequency Noise Vibration and Active Control|
|Publication process dates|
|Accepted||05 Nov 2020|
|Deposited||12 Nov 2020|
Accepted author manuscript
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