基于遗传算法的无线传感器/执行器网络故障检测滤波器设计

Fault detection filter design based on genetic algorithm in wireless sensor and actuator network

为提高无线传感器/执行器网络(WSAN)的可靠性,提出一种基于遗传算法(GA)的WSAN故障检测滤波器的优化设计方法。在系统建模时将无线网络传输延迟对网络控制系统的影响建模为一种系统扰动噪声,将由敏感度和鲁棒性构成的复合优化指标作为故障检测滤波器的优化目标函数,即适应度函数。同时根据优化目标在自动控制系统中的数值特性,选择与之相适应的实数编码、均匀变异和算术交叉等处理方法,以期在加快收敛速度的同时也兼顾计算结果的精确度。所提的优化滤波器设计,不仅能抑制滤波器信号中的噪声分量,而且能放大故障信号。最后,通过Matlab/OMNET++的仿真平台验证了这一设计的有效性。

To improve the reliability of the Wireless Sensor and Actuator Network（ WSAN）,an optimal design method based on Genetic Algorithm（ GA） for WSAN fault detection filter was proposed. In system modeling,the influence of the wireless network transmission delay on network control system was modeled as an external noise,the composite optimization index which is composed of sensitivity and robustness was made as the design goal of fault detection filter,and the optimization objective was made as the core of GA—the fitness function. At the same time,according to the numerical characteristics of optimization objective in WSAN,the corresponding real coding,uniform mutation,arithmetic crossover and other processing methods were selected to speed up the convergence rate,meanwhile taking the accuracy of the calculation results into account.The optimized filter design mentioned herein,not only restrains the noise signal,but also amplifies the fault signal. Finally,the effectiveness of the proposed design is demonstrated by the results of Matlab / OMNET ＋ ＋ hybrid simulations.