【摘要】 基于人工免疫算法,设计了一种风电机组故障诊断与偏航控制一体化系统。该系统包含故障诊断免疫子系统代理和偏航控制免疫子系统代理。首先归结出了风电机组的不同故障类型与偏航控制条件,并建立了两个免疫子系统代理的抗原与抗体对应表。然后采用对抗原与抗体进行统一编码的方法,计算抗原与抗体之间的亲和力,实现了抗原与抗体的识别结合过程。最后仿真实验结果表明,该系统能够高效地协同工作,诊断已知故障类型(抗原),并能自动给出对应的解决措施(抗体);能够根据不同的风速风向条件(抗原)给出最优的偏航控制策略(抗体)。通过与传统PID控制相比,本文提出的系统具有更好的稳定性和鲁棒性。更多还原

【Abstract】 This paper designs an integrated control system for wind turbine fault diagnosis and yaw control based on artificial immune algorithm. The system consists of fault diagnosis subsystem agent and yaw control subsystem agent. Firstly,the different fault types of wind turbines and control conditions of wind yaw are generalized,and then the antigen and corresponding antibody table of two immune agents are built. Secondly,this paper adopts unified coding of antigen and antibody,calculates the affinity between them,and then realizes the process of identification. Finally,the simulation results show that the system proposed in this paper is effective and robust. It can diagnose the known fault types expressed by antigen,and give the corresponding solution with antibody automatically. Besides,it can also choose the optimized yaw control strategy using antibody according to different wind speeds and directions expressed by antigen. Comparing with the traditional PID control algorithm,the system proposed in this paper has better stability and robustness.更多还原