Retraction control of motorized seat belt system with linear state observer

Kang-seok Lee , Chin-chul Choi , Woo-taik Lee

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (2) : 385 -392.

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Journal of Central South University ›› 2013, Vol. 20 ›› Issue (2) : 385 -392. DOI: 10.1007/s11771-013-1499-6
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Retraction control of motorized seat belt system with linear state observer

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Abstract

A design and verification of linear state observers which estimate state information such as angular velocity and load torque for retraction control of the motorized seat belt (MSB) system were described. The motorized seat belt system provides functions to protect passengers and improve passenger’s convenience. Each MSB function has its own required belt tension which is determined by the function’s purpose. To realize the MSB functions, state information, such as seat belt winding velocity and seat belt tension are required. Using a linear state observer, the state information for MSB operations can be estimated without sensors. To design the linear state observer, the motorized seat belt system is analyzed and represented as a state space model which contains load torque as an augmented state. Based on the state space model, a linear state observer was designed and verified by experiments. Also, the retraction control of the MSB algorithm using linear state observer was designed and verified on the test bench. With the designed retraction control algorithm using the linear state observer, it is possible to realize various types of MSB functions.

Keywords

motorized seat belt system / motorized seat belt (MSB) system / linear state observer / state space model / augmented state / retraction control

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Kang-seok Lee, Chin-chul Choi, Woo-taik Lee. Retraction control of motorized seat belt system with linear state observer. Journal of Central South University, 2013, 20(2): 385-392 DOI:10.1007/s11771-013-1499-6

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References

[1]

MinS.-k., LeeJ.-w., KimB.-soo.. Development of pre-crash safety system using motorized seat belt [C]. Spring Conference, Jeongseon, 2004, 4: 1219-1224

[2]

PARK Jae-soon, TAK Tae-oh, KIM Ilh-wan, KUK Min-gu, KIM Dae-hee, SIN Seong-eon, KIM Jung-han, LEE Dong-sub, KIM Seung-man. Driving mechanism design of a motorized seatbelt retractor[C]// KSME Conference, Muju, 2006: 2951–2956.

[3]

LEE Kang-seok, LEE Woo-taik. Development of motorized seat belt control system using development-process model [C]// KSAE Conference, Seoul, 2008: 1832–1837.

[4]

CaveneyD.. Cooperative vehicular safety applications [J]. Control Systems, IEEE, 2010, 30: 38-53

[5]

LuenbergerD. G.. Observing the state of a linear system [J]. IEEE Transactions on Military Electronics, 1964, 8(2): 74-80

[6]

LeeS.-h., LeeS.-b., ParkC.-h.. A study on the signal processing method for the hall sensorless position control of etc system using a bldc motor [J]. Transactions of KSAE, 2008, 16(5): 92-99

[7]

BAE Kyu-tae, CHOI Chin-chul, LEE Woo-taik. Design of linear disturbance state estimator of motorized seat belt system [C]// KSAE Annual Conference, Daegu, 2010: 1993–1998.

[8]

GiuseppeS., BujaR. M., MariaI. V.. Disturbance torque estimation in a sensorless dc drive [J]. IEEE Transactions on Industrial Electronics, 1995, 42(4): 351-357

[9]

JorgeS., MariaI. V., CarlosM.. A nonlinear reduced order observer for permanent magnet synchronous motors [J]. IEEE Transactions on Industrial Electronics, 1996, 43(4): 492-497

[10]

MethaA. J., BandyopadhyayB., InoueA.. Reduced-order observer design for servo system using duality to discrete-time sliding-surface design. IEEE transactions on industrial electronics [J], 2010, 57(11): 3793-3800

[11]

MutuwoT., TomonobuS., ShinjiD., ShigeruO.. New sensorless control for brushless DC motors using disturbance observers and adaptive velocity estimations [J]. IEEE Transactions on Industrial Electronics, 1998, 45(2): 274-282

[12]

FanS.-x., FanD.-p., HongH.-j., ZhangZ.-yong.. Robust tracking control for micro machine tools with load uncertainties [J]. Journal of Central South University, 2012, 19(1): 117-127

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