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针对当前静态神经元控制下的光纤激光器波束集成度不高,约束控制不稳的问题,提出基于优化神经网络的光纤激光器最优设计方法,通过分析光纤激光器的控制参量及基本控制规律,对光纤激光器的滤波特性和传输波束的谱特征进行分析,引入光纤激光器波束控制的约束参量,结合变结构PID神经网络进行光纤激光器的分裂波束定向集成,实现激光器的波束优化控制设计。试验结果表明,采用该方法进行光纤激光器设计的波束指向性较好,能量耗散较低,激光波束控制的品质较高。
Aiming at the problem that the current state of the static neurons is not high and the constraint control is not stable, the optimal design method of the fiber laser based on the optimized neural network is proposed. By analyzing the control parameters and the basic control law of the fiber laser, The characteristics of the laser and the spectral features of the transmission beam are analyzed. The constraint parameters of the fiber laser beam steering are introduced, and the splitting beam orientation of the fiber laser is integrated with the variable structure PID neural network to realize the laser beam optimization control design. The experimental results show that the proposed method has better beam directivity, lower energy dissipation and higher laser beam quality.