基于自适应粒子群算法优化PID的风电机组齿轮箱温度控制系统
Optimization of PID Based Temperature Control System for Wind Turbine Gearbox Based on Adaptive Particle Swarm Optimization Algorithm
杨荣昆 1朱尤成 1樊瑞1
作者信息
- 1. 国电电力云南新能源开发有限公司,昆明 650000
- 折叠
摘要
为保障风电机组齿轮箱温度稳定,设计基于自适应粒子群算法优化PID的风电机组齿轮箱温度控制系统.该系统使用温度变送器获取当前风电机组齿轮箱实时温度数据,通过模拟量输入输出模块将实时温度数据输入到变论域模糊PID控制器内,进行模糊化处理,划分温度控制量尺度变量模糊空间,建立控制变论域,依据PID模糊规则得到PID控制器输出的风电机组齿轮箱温度控制量.实验结果表明,该系统运行稳定性良好,可快速控制风电机组齿轮箱温度达到指定数值,同时超调量较小,系统性能较为优秀.
Abstract
In order to ensure the temperature stability of wind turbine gearbox,a temperature control system of wind turbine gearbox based on adaptive particle swarm optimization PID is designed.In this system,the temperature trans-mitter is used to obtain the real-time temperature data of the current wind turbine gearbox,and the real-time temper-ature data is input into the variable universe fuzzy PID controller through the analog input and output module for fuzzification,so as to divide the fuzzy space of the scale variable of the temperature control quantity,establish the control variable universe,and obtain the temperature control quantity of the wind turbine gearbox output by the PID controller according to the PID fuzzy rules.The experimental results show that the system has good operation stabili-ty,can quickly control the temperature of the gearbox of the wind turbine to a specified value,and has small over-shoot and excellent system performance.
关键词
粒子群算法/PID控制器/变论域/风电机组/齿轮箱/温度控制Key words
particle swarm optimization/PID controller/variable domain of discourse/wind turbines/gearbox/tempera-ture control引用本文复制引用
基金项目
国电电力云南新能源科技项目(GDDLYNXNY-202101)
出版年
2024
NETL
NSTL
维普
万方数据