Adaptive Fault Detection and Isolation for Active Suspension Systems With Model Uncertainties

作者：Yan, Shuai; Sun, Weichao^*; He, Fenghua; Yao, Jianyong

来源：IEEE Transactions on Reliability, 2019, 68(3): 927-937.

DOI：10.1109/TR.2018.2868949

• Active suspension systems
• fault detection
• fault isolation
• model uncertainties
• parameter adaption

Suspension operation reliability is one of the most significant performance indexes that concerns maneuvering stability and drive safety. In this paper, in order to guarantee good suspension reliability, an adaptive fault detection and isolation scheme is proposed for quarter-car active suspension systems with parametric and nonlinear uncertainties. To realize fault diagnosis for active suspensions, an adaptive fault detection estimator and several fault isolation estimators are designed to generate state residuals. Corresponding adaptive thresholds are developed to help judge the occurrence and type of possible faults. In the process of constructing state estimators, the uncertain parameter is updated online so that good sensitivity of fault detection can be achieved. Illustrative simulation is carried out to validate the effectiveness of the fault diagnosis scheme, and results indicate that the proposed method is sensible to sudden faults and maintain robustness to model uncertainties appearing in suspension systems.

• 出版日期2019-9
• 单位哈尔滨工业大学; 南京理工大学