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毕业设计的材料

2011届
本科生毕业设计资料第一部分过程管理资料
2011届毕业设计课题任务书
院(系):湖南工学院电气与信息工程系专业:自动化
(2011届)
本科生毕业设计开题报告
2011年4月
本科毕业设计进展情况记录
毕业设计题目:基于单片机的直流电机的PID控制
班级:自本0702 学号:学生:王轶浩指导教师:李建军
湖南工学院毕业设计(论文)工作中期检查表
湖南工学院2011届毕业设计(论文)指导教师评阅表系:电气与信息工程专业:自动化
毕业设计评阅教师评阅表
湖南工学院2011届毕业设计(论文)答辩及最终成绩评定表系:电气与信息工程专业:自动化
说明:最终评定成绩=a+b+c,三个成绩的百分比由各系自己确定,但应控制在给定标准的10%左右。

2011届
本科生毕业设计资料
第二部分设计说明书
英文翻译资料
PID (proportional integral derivative) control is one of the earlier control strategies. Its early implementation was in pneumatic devices, followed by vacuum and solid state analog electronics, before arriving at today’s digital implementation of microprocessors. It has a simple control structure which was understood by plant operators and which they found relatively easy to tune. Since many control systems using PID control have proved satisfactory, it still has a wide range of applications in industrial control. According to a survey for process control systems conducted in 1989, more than 90 of the control loops were of the PID type. PID control has been an active research topic for many years. Since many process plants controlled by PID controllers have similar dynamics it has been found possible to set satisfactory controller parameters from less plant information than a complete mathematical model. These techniques came about because of the desire to adjust controller parameters in situ with a minimum of effort, and also because of the possible difficulty and poor cost benefit of obtaining mathematical models. The two most popular PID techniques were the step reaction curve experiment, and a closed-loop “cycling” experiment under proportional control around the nominal operating point.
In this chapter, several useful PID-type controller design techniques will be discussed, and implementation issues for the algorithms will also be mentioned. The proportional, integral, and derivative actions are explained in detail, and some variations of the typical PID structure are also introduced. In this chapter, the
well-known empirical Ziegler–Nichols tuning formula will be covered. A modified Ziegler–Nichols algorithm is also given. Some other simple PID setting formulae optimum PID controller will be presented in this paper.
Finally, some suggestions on controller structure selections for practical process control are provided.。

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