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研究了有突变故障采样数据(SD)系统的最优等价空间残差产生器的设计。针对用等价空间残差产生器进行SD系统故障检测时,检测结果的好坏与等价空间向量的选择密切相关,设计SD系统等价空间残差产生器的传统间接优化方法和直接优化方法均把扰动和故障看做是同一类型,导致最后设计的有突变故障SD系统残差产生器对扰动的鲁棒性差,无法对突变故障进行有效检测的情况,提出了一种设计最优等价空间残差产生器的新的混合优化方法。理论分析证明,用该方法设计的等价空间残差产生器的性能,要优于采用传统直接优化方法和间接优化方法设计的产生器,而且随着等价关系阶数s的增大,性能会进一步增强。仿真结果验证了该方法的有效性。
The design of optimal equivalent space residual generator with mutation fault sampling data (SD) system is studied. When using the equivalent space residual generator to detect the fault of SD system, the result of the detection is closely related to the selection of equivalent space vector. The traditional indirect optimization method and direct optimization method of SD space equivalent residual generator Both the disturbance and the disturbance are regarded as the same type, which leads to the final design of a mutation fault SD system residual generator poor robustness of the disturbance, mutation failure can not effectively detect the situation, the design of an optimal equivalent space Residual Error Generator New Hybrid Optimization Method. The theoretical analysis proves that the performance of the equivalent space residual generator designed by this method is better than that of the generator designed by the traditional direct optimization method and the indirect optimization method. And with the increase of the equivalent relational order s, the performance Will be further enhanced. Simulation results verify the effectiveness of this method.