柔韧的差错诊断为非线性的系统的一个类基于适应观察员被学习直到输出注射。适应差错更新法律被设计保证诊断系统的稳定性。州的评价错误的上面的界限;适应观察员的差错评价错误分别地被给;在差错评价精确性上的适应更新法律的参数的效果也被讨论。模拟例子表明建议方法的有效性;分析结果。
Robust fault diagnosis based on adaptive observer is studied for a class of nonlinear systems up to output injection. Adaptive fault updating laws are designed to guarantee the stability of the diagnosis system. The upper bounds of the state estimation error and fault estimation error of the adaptive observer are given respectively and the effects of parameter in the adaptive updating laws on fault estimation accuracy are also discussed. Simulation example demonstrates the effectiveness of the proposed methods and the analysis results.