风机齿轮箱吊具遗传优化模糊PID控制研究

Research on Genetic Optimization Fuzzy PID Control of Wind Power Generator Gearbox Lifting Device

针对某型齿轮箱液压姿态调整吊具同步控制问题,对因两通道油缸的规格尺寸、油缸泄露和负载力等因素导致的齿轮箱安装轴线与发电机轴线存在偏角,影响齿轮箱的安装效率和精度的问题进行研究。根据吊具工况建立阀控缸系统数学模型,通过同步误差补偿校正建立两缸同步控制系统模型,设计模糊PID控制器;针对模糊控制器参数难以整定的问题,采用全局搜索能力较强的遗传算法对模糊控制器的量化因子与比例因子进行优化,用仿真软件进行对比分析。研究结果表明:使用遗传算法优化的模糊PID控制系统响应速度快,调整时间短,跟踪性能好,相比于PID控制系统,经过遗传算法优化的模糊控制器的响应性能和同步跟随精度均得到提升。

In view of the problem found in the synchronous control of the hydraulic attitude adjustment lifting device of a certain type of gear box,the fact that the installation axis of the gearbox and the axis of the power generator are with offset angle due to specification of the cylinders in the two channels,cylinder leakage,load force and other factors which affect the installation efficiency and accuracy of the gearbox are studied.Establish mathematical model of the valve control cylinder system according to the working condition of the lifting device,establish synchronous control system model of the two cylinders by compensation and correction of the synchronous error,and design the fuzzy PID controller;To solve the problem that the parameters of the fuzzy controller are difficult to adjust,the genetic algorithm with strong universal search ability is used to optimize the quantization factor and scaling factor of the fuzzy controller,and the simulation software is used for comparative analysis.The research results show that the fuzzy PID control system optimized by genetic algorithm is with fast response speed,short adjustment time and good tracking performance.Compared with the PID control system,the response performance and synchronous tracking accuracy of the fuzzy controller optimized by genetic algorithm are improved.