改进BP算法优化的纺织空调智能PIDNN控制  

Optimizing Textile Air Conditioning Intelligent PIDNN Control with Improved BP Algorithm

作　　者：王延年[1] 武云辉 WANG Yannian;WU Yunhui(Xi'an Polytechnic University,Xi'an,710048,China)

机构地区：[1]西安工程大学,陕西西安710048

出　　处：《棉纺织技术》2021年第3期1-5,共5页Cotton Textile Technology

基　　金：陕西省科技厅工业领域一般项目(2019GY-109);西安市科技局科技计划项目(201805030YD8CG14);西安工程大学(柯桥)研究生创新学院研究生联合培养项目(19KQYB02)。

摘　　要：针对纺织厂多输入多输出空调系统采用一般PID控制方法,控制精度不高,难以实现温湿度的理想控制和满足生产工艺要求的问题,提出了一种优化改进BP算法与PID神经元网络相结合的空调温湿度控制方法。分别对一般PID控制方法,未改进BP算法与PIDNN结合的控制方法,以及优化改进的BP算法结合PIDNN控制方法进行了测试对比。结果表明:优化改进的BP算法与PIDNN相结合后,解耦效果更理想,鲁棒性更强,响应速度更快,控制效果更好。认为:优化改进的BP算法结合PIDNN控制方法能实现温湿度间的理想解耦,提高系统控制精度,有效缩短控制时间,可满足纺织厂生产工艺对温湿度的要求,使纺织空调系统智能化程度提高。Aimed at the common PID control method adopted by textile mills for multiple input multiple output air conditioning system with the issues like no high control accuracy and not easy to achieve the ideal control on temperature&humidity and satisfying the production technology requirements,a kind control method on air conditioning temperature&humidity combining the optimized and improved BP algorithm and PID neural network was put forward.The common PID control method,control method combining BP algorithm without improvement and PIDNN,the control method combining optimized and improved BP algorithm with PIDNN were tested and compared respectively.The test results showed that the decoupling effect was more ideal,the robustness was higher,the response speed was faster and the control effect was better when optimized and improved BP algorithm was combined with PIDNN.It is considered that the control method combining optimized and improved BP algorithm with PIDNN can achieve the ideal decoupling between temperature and humidity.The control accuracy of the system is improved.The control time was effectively reduced.It can meet the requirement of the production processing in textile mills on the temperature and humidity.The air conditioning system intelligent degree in textile mills can be improved.

关 键 词：纺织厂 空调系统 改进的BP算法 PID神经元网络 温湿度 解耦控制 

分 类 号：TS108.61[轻工技术与工程—纺织工程]