混沌BA的电机网络控制系统安全诊断策略

Safety diagnosis strategy of motor networked control system based on chaotic BA algorithms

针对工业电机网络控制系统,提出基于混沌变异蝙蝠优化算法(bat algorithm,BA)的安全诊断优化设计方法。将存在的多包传输问题建模为一种时变切换系统,延迟则建模为系统中存在的不确定性。将残差信号分别与干扰信号和故障信号的传递函数之比设置为相应的优化目标,提出改进蝙蝠算法对该适应度函数进行优化得到最优观测器增益矩阵,使该故障观测器系统能够抑制噪声,提升对故障的敏感程度。将该方法在网络控制系统半物理平台上进行仿真,仿真结果表明,所提方法能够同时抑制噪声信号和放大故障信号,提高了故障诊断的正确率,降低了虚警率。

Aiming at the industrial motor network control system,a method of safety diagnosis optimization design based on chaos mutation bat algorithm(BA)was proposed.The multi packet transmission problem was modeled as a time-varying switching system,and the delay was modeled as the uncertainty in the system.The ratios of the residual signal to the transfer function of the disturbance signal and that to the fault signal were set as the corresponding optimization objective,and the bat algorithm was improved to optimize the fitness function to obtain the optimal observer gain matrix,so that the fault observer system could not only suppress the noise,but also improved the fault sensitivity.The method was simulated on the semi physical platform of the network control system.The simulation results show that the proposed method can suppress noise signal and amplify fault signal at the same time,thus improving the accuracy of fault diagnosis and reducing the false alarm rate.