基于模糊PID控制的大惯性轮伺服系统设计与实现
发布时间:2018-03-25 08:22
本文选题:大惯性轮伺服 切入点:模糊PID控制技术 出处:《电子科技大学》2014年硕士论文
【摘要】:在电力电子时代的今天,大惯性轮伺服系统一直在现代化的生产和生活中起着十分重要的作用。据资料统计,现在有的90%以上的自动控制系统均是来自于大惯性轮伺服系统,并且大惯性轮伺服系统与人们的生活息息相关,密不可分。随着现代化步伐的迈进,人们对自动化的需求越来越高,使得大惯性轮伺服系统向更复杂的自动化控制方向发展。从系统开发者的角度,大惯性轮伺服程序通常面临高并发和高负载的压力。同时,大惯性轮伺服还要面临来自越来越复杂应用领域的挑战。目前的基于模糊PID控制的大惯性轮伺服系统在电机运转稳速、调速、加速或减速三个方面仍然不能满足使用要求。为了克服大惯性轮伺服系统调速系统的缺点,得到高精度的转速,随着电力电子技术的发展,使得比较普遍的用模糊PID调节器来控制电力系统大惯性轮伺服,利用各种新颖的、高性能的控制策略,来使电力系统大惯性轮伺服平稳的运转,这使大惯性轮伺服系统减少集群中的大惯性轮伺服节点数,显著的降低企业运营的成本,,从而使得使大惯性轮伺服系统的性能更符合人们的使用要求。在大惯性轮伺服发现请求提高I/O性能之前,块层会对这些请求排序。如果必要,大惯性轮伺服重新对这些请求排序。通常这种重新排序通过传递多个请求到大惯性轮伺服并且使硬件考虑优化的顺序来实现。在调速系统上位机的开发中用到Visual Basic,对系统功能模块进行实现。将PID控制和Fuzzy控制二者结合起来,运用模糊数学的基本理论方法,把规则的条件、操作用模糊集表示,并把这些模糊控制规则以及有关信息(如评价指标、初始PID参数等)作为知识存入知识库中,以自动实现对PID参数的最佳调整。对系统功能进行测试,从性能角度分析了服务模型的状况。本文将介绍一种基于模糊PID控制的大惯性轮伺服系统。基于半同步半异步的线程池方式进行设计,避免了系统阻塞或大量线程带来的开销,是系统高效运行的基础,本设计选用AT89S52单片机作为信号产生器,应用模糊PID算法,对整个过程进行位置跟踪,模糊PID控制,在设计制作的过程中,考虑到实际需求键盘输入模块和LED显示部分,使本设计的实用性得到了增强。
[Abstract]:In the era of power electronics, the large inertial wheel servo system has been playing a very important role in modern production and daily life. According to the statistics, some 90% of the automatic control systems come from the large inertia wheel servo system. And the large inertia wheel servo system is closely related to people's life. With the step of modernization, the demand for automation becomes higher and higher. The development of large inertial wheel servo system towards more complex automatic control. From the point of view of system developer, large inertia wheel servo program usually faces high concurrency and high load pressure. At the same time, Large inertial wheel servo has to face challenges from more and more complex application fields. The current large inertial wheel servo system based on fuzzy PID control is running at steady speed and adjusting speed. In order to overcome the shortcomings of large inertia wheel servo system and get high precision speed, with the development of power electronics technology, The fuzzy PID regulator is widely used to control the large inertia wheel servo in power system, and various novel and high performance control strategies are used to make the large inertia wheel servo run smoothly in the power system. This makes the large inertia wheel servo system reduce the number of large inertia wheel servo nodes in the cluster. Significantly reduce the operating cost of the enterprise, thus making the performance of the large inertia wheel servo system more responsive to people's requirements. Before the large inertia wheel servo discovery request improves the I / O performance, the block layer sorts these requests, if necessary. The large inertial wheel servo reorders these requests. This reordering is usually achieved by passing multiple requests to the large inertia wheel servo and allowing the hardware to consider the order of optimization. Visual is used in the development of the upper computer of the speed control system. Basic, the system function module is implemented. The PID control and Fuzzy control are combined. By using the basic theory and method of fuzzy mathematics, the condition and operation of rules are represented by fuzzy sets, and these fuzzy control rules and relevant information (such as evaluation index, initial PID parameters, etc.) are stored in the knowledge base as knowledge base. In order to automatically realize the best adjustment of PID parameters, the function of the system is tested, In this paper, a large inertia wheel servo system based on fuzzy PID control is introduced. The design is based on a semi-synchronous and semi-asynchronous thread pool, which avoids the overhead caused by system blockage or a large number of threads. This design chooses AT89S52 single chip computer as signal generator, uses fuzzy PID algorithm, carries on the position tracking to the entire process, the fuzzy PID control, in the process of design and manufacture, Considering the actual requirement of keyboard input module and LED display, the practicability of this design is enhanced.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM921.541
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