Faults Detection Using Sliding Mode Observer and Its Application on Elevating Servo Systems. (7th October 2019)

• Record Type: Journal Article
• Authors: Tian, Lingfei; Qian, Linfang; Li, Miao; Fu, Jiawei
• Other Names: Morinigo-Sotelo Daniel Academic Editor.
• Is Part Of: Journal of control science and engineering. Volume 2019(2019)
• Publication Date: 2019-10-07
• Subjects: Control theory -- Periodicals; 629.831205
• DOI: 10.1155/2019/4173871
• Languages: English
• ISSNs: 1687-5249

Abstract

Abstract : The elevating servo system (ESS) of vehicle-mounted howitzer (VMH) is a typical closed-loop electrohydraulic position servo system, and the faults of its actuator and sensor seriously affect the safety and reliability of the system. In practice, model uncertainty, nonlinearities, unknown disturbance, and output noise present enormous challenges to conduct fault detection of the system. In the current paper, an online fault detection scheme using the sliding mode technology is proposed. Not only the derivation method of state equation and some common fault expressions but also a new design of sliding mode observer with the ability to eliminate the influences of the above factors on detection results is given. The observer's parameter matrices are obtained by the linear matrix inequality. To promote the fault detection capability, a statistical-based dynamic threshold is developed to detect actuator faults and sensor faults simultaneously. Finally, experimental studies are implemented on a test rig for validating the system model, and the results of four experiments show the effectiveness of proposed methods.