摘要
针对电热鼓风式干燥箱存在的温控精度不高、温控波动、升温速率慢等问题,提出一种实用的PID温控系统方案,分别从硬件和软件方面对温控系统进行优化设计,采用铂热电阻检测-单片机控制的方式,以及优化的PID控制策略。摸索出一种自适应遗传算法(简称IGA),并用于对PID控制器参数Kp、Ki、Kd进行优化,寻求全局最优解,实现对温度进行精确控制。结果表明,相对于模糊控制、传统PID控制等方案,本方案控制精度高,响应快,无超调,有利于提高工作效率和产品质量。
The paper puts forward a kind of temperature PID control system scheme, aiming at the prob-lems existed in the domestic temperature oven, such as low and instable temperature control accuracy, slow heat-ing rate.It optimizes the design of temperature control system from aspects of hardware and software.Platinum resistance thermometer is used to detect the temperature, SCM to control, and PID as control strategy.An adap-tive genetic algorithm （ called＂IGA＂for short） is proposed to optimize the parameters of PID controller including Kp, Ki, Kd, to seek the global optimal solution.The results of system response curve show that this system has higher control precision, faster response, and no overshoot comparing with the fuzzy control and the traditional PID control scheme, and it can improve the work efficiency and the quality of the products.
作者
孙瑞霞
王宗乾
SUN Rui-xia WANG Zong-qian(Anhui Provincial Key Laboratory of Electrical Transmission and Control, Anhui Polytechnic University, Wulm 241000, China)
出处
《佳木斯大学学报（自然科学版）》
CAS
2016年第5期787-790,共4页
Journal of Jiamusi University：Natural Science Edition
基金
先进纺织材料与制备技术教育部重点实验室(浙江理工大学)开放基金(2013005)
关键词
PID控制
干燥箱
遗传算法
自适应
优化
PID control
drying oven
genetic algorithm
adaptive
optimization
