In order to analyses the numerical analysis, parameters are very important in the mathematical modelling work. The correspondence output between mathematical modelling and real system is depending on the given parameters. In this paper, estimation and calibration method of brushless DC (BLDC) motor parameters that used in Electric Powered Wheelchair (EPW) through experimental and simulation comparison are proposed. The setup of experiment consists of in-wheel BLDC motor with a driver, 36-volt battery, Arduino microcontroller, speed sensor and current measurement tool. Firstly, the initial parameters of motor are estimated by using related equation and fitting curve method. Then, initial estimated parameters are simulated in EPW modelling. Finally, parameters of the BLDC motor are calibrated according to output speed of modelling and real DC motor using Matlab-Parameter Estimation tool. Result of error shows that the modelling and real EPW output speed is 2.7% after calibration. In conclusion, the calibrated parameters verified to use in modelling and for the further work in designing the control for the EPW.

1.
L.
Fang
,
T.
Lu
,
W.
He
, and
K.
Yuan
, “
Dynamic and tip-over stability analysis of a planetary wheeled stair-climbing wheelchair
,”
2012 IEEE Int. Conf. Mechatronics Autom. ICMA 2012
, pp.
2541
2546
,
2012
.
2.
N.
Hirata
,
S.
Hamatani
, and
T.
Murakami
, “
Traveling assist control of two-wheel wheelchair in unknown step passage
,”
IEEE Int. Symp. Ind. Electron.
, vol.
2016
–Novem, pp.
1270
1275
,
2016
.
3.
S.
Hamatani
and
T.
Murakami
, “
A novel steering mechanism of two-wheeled wheel chair for stability improvement
,” in
IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
,
2015
, pp.
2154
2159
.
4.
R. A.
Cooper
,
M. J.
Dvorznak
,
T. J.
O’Connor
,
M. L.
Boninger
, and
D. K.
Jones
, “
Braking electric-powered wheelchairs: Effect of braking method, seatbelt, and legrests
,”
Arch. Phys. Med. Rehabil.
, vol.
79
, no.
10
, pp.
1244
1249
,
1998
.
5.
H.
Seki
, “
Capacitor regenerative braking control of power-assisted wheelchair for safety downhill road driving
,”
2010 3rd IEEE RAS EMBS Int. Conf. Biomed. Robot. Biomechatronics, BioRob 2010
, vol.
56
, no.
5
, pp.
143
148
,
2010
.
6.
M. H.
Bin Peeie
,
H.
Ogino
, and
Y.
Oshinoya
, “
Skid control of a small electric vehicle with two in-wheel motors: simulation model of ABS and regenerative brake control
,”
Int. J. Crashworthiness
, vol.
21
, no.
5
, pp.
396
406
,
2016
.
7.
M. A.
Shahrom
and
M. H.
Peeie
, “
Development of Zero Turning Radius by using different independent torque
,” in
2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
,
2017
, pp.
647
650
.
8.
I. D. I.
Shaw
and
S.
Francisco
, “
(12) United States Patent (10) Patent No.: (45) Date of Patent
,”
United State Pat.
, vol.
1
, no.
12
,
2014
.
9.
S. S. S. S.
Saab
and
R. A. a. a.
Kaed-Bey
, “
Parameter identification of a DC motor: an experimental approach
,”
ICECS 2001. 8th IEEE Int. Conf. Electron. Circuits Syst. (Cat. No.01EX483)
, vol.
2
, pp.
981
984
,
2001
.
10.
H.
Erdal
,
B.
Doğan
, and
A.
Buldu
, “
Realtime parameter estimation, calibration and simulation of a DC motor
,”
Tech. Technol. Educ. Manag.
, vol.
6
, no.
3
,
2011
.
11.
R.
Patankar
, “
Real-time Multiple Parameter Estimation
,” in
American Control Conference
,
2004
, pp.
3851
3856
.
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