State estimation for motorized seat belt system using sliding-mode observer

Abstract

This paper describes a sliding-mode observer design for state estimation of a motorized seat belt (MSB) system. The MSB system is an active safety system that can protect passengers and improve passenger convenience by several operations, which prevent and warn to passengers about dangerous driving conditions and reduce the dangerous situation caused by slack and poor return of seat belt. To realize these operations, state information such as the belt winding velocity and tension of belt are required. However measuring this information with sensors increases the system cost and complexity. In this paper, a sliding-mode observer, which estimates requisite state information, is proposed. The designed sliding-mode observer is robust towards system uncertainties and parameter variation and is verified in matched and mismatched parameter cases.

Cyclic torque imbalance detection in gasoline engines using a uniform second-order sliding mode observer

“…SOSM observers have been widely employed for estimation of states, 37 parameter estimation, 38 and detection of fault. 39 Identification of the uncertainties can be performed with one filtering by employing SOSM observers which made them suitable for estimation of system parameters, unknown inputs, and fault detection.…”

Sensorless Load Torque Estimation and Passivity Based Control of Buck Converter Fed DC Motor

“…Load torque estimation of DC motor is essential in trajectory tracking control of radar, robots, motorized seat belt systems [ 1 ], and wearable exoskeletons [ 2 ]. Practically, torque is measured using either contact or noncontact type torque sensor where the latter is not economic.…”