论文中文题名: | 基于嵌入式无轴传动控制器研制 |
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学号: | 20080198 |
保密级别: | 公开 |
学科代码: | 081101 |
学科名称: | 控制理论与控制工程 |
学生类型: | 硕士 |
学位年度: | 2011 |
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研究方向: | 智能控制 |
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论文外文题名: | Development of the Shaftless Drives Controller Based on Embedded |
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论文中文摘要: |
无轴传动技术是一门新兴的、跨学科的综合型技术,是传动技术、控制技术、通信技术和机械技术的有机结合。无轴传动技术在印刷、机械加工等要求实现多轴同步传动的领域可以代替传统的机械传动实现较好的传动关系,有着很好的应用前景。
首先,论文对无轴传动技术进行了全面、深入的研究,针对无轴传动技术的结构特点设计了系统的总体方案,在此基础上完成了无轴传动控制器的硬件模块电路设计,主要有以下几部分:LM3S615芯片控制电路设计;电机驱动电路设计;速度检测电路设计;液晶显示电路设计;按键电路设计。
其次,分析了主从式同步结构和平行式同步结构各自优缺点,综合考虑选择平行式结构进行同步控制。控制器软件设计采用了PID控制算法,并对算法进行了改进:采用速度差补偿的方法提高速度同步的精度;采用带有死区的PID控制算法来消除由于系统频繁调节所引起的振荡;采用了数字滤波技术对偏差信号中的干扰、噪声进行滤波提高PID控制算法的精度。对实验平台进行了调试,系统工作稳定,控制效果良好。
最后,针对PID控制算法实现同步协调控制存在的问题,本文采用了基于隐式广义预测控制算法进行改进。文中讨论了隐式广义预测控制算法的基本结构和原理。利用隐式广义预测控制求取最优控制律,即根据输入输出数据直接辨识求取最优控制律中的参数,简化了控制算法;通过对一个非最小相位系统数学模型进行仿真来分析广义预测中主要参数对系统的影响。根据直流伺服电机参数推导出电机的数学模型,对该模型采用隐式广义预测算法和PID算法分别进行了仿真,通过实验结果比较,基于隐式广义预测控制使系统动态响应变快、速度跟踪性能得到提高和速度同步误差减小,具有较好的控制性能。
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论文外文摘要: |
Shaftless driven technology is a new, interdisciplinary integrated technology, which spans domains within mechanical engineering, control theory, communication theory and transmission technology. Shaftless driven technology can replace Mechanism transmission to realize exact transmission. So shaftless driven technology plays an important role and has capacious application foreground in printing, mechanical processing and other fields that need synchronized transmission.
Firstly, the paper in-depth and comprehensive researches the shaftless driven technology. According to the structural features of the shaftless driven technology designs the overall program of the system. On the basis, the paper complete shaftless driven controller’s hardware circuit design, its contains LM3S615 chip control circuit design; motor drive circuit design; speed detection circuit design; liquid crystal display circuit design; key circuit design.
Secondly, analysis of the master-slave synchronization structure and the parallel synchronization structure from their advantages and disadvantages. Take all factors into consideration, the paper choose parallel synchronization structure to synchronization control. The software design of the controller use PID control algorithm, and improve the algorithm according to actual situation. Using speed difference compensation method to improve the precision of speed synchronization, using PID control with dead zone algorithm to eliminate the system oscillation caused by frequent adjustment, using digital filtering technology to filtering the interference and noise in the deviation signal in order to improve the accuracy of the PID control algorithm. After testing for the experimental platform, the system is stable and has a good control effect.
Finally, for the problems of the PID control algorithm implement synchronizing control, the paper adopts based on implicit generalized predictive control algorithm to improve. In the paper, discuss basic structure and theory of the implicit generalized predictive control algorithm. Using implicit generalized predictive control algorithm to acquire optimal control law, in other words, according to input and output data directly identification and acquirement the parameters of the optimal control law, simplify the control algorithm. Through a non-minimum phase system mathematical model simulation to analyze the main parameters of the generalized predictive impact the system. According to DC servo motor’s parameters derive the motor mathematical model. Using implicit generalized predictive algorithm and PID algorithm simulate the model. Through comparison of the experimental results, based on implicit generalized predictive control improve the system dynamic response and stability, it has good control performance.
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中图分类号: | TP273 |
开放日期: | 2011-06-12 |