| 1. | Application of pid control system in a four location refrigerator - testing laboratory
控制的4工位冰箱性能测试试验室研制 |
| 2. | Application of model predictive fuzzy self - tuning pid control system for temperature regulation
集成控制系统在温度控制中的应用研究 |
| 3. | Characteristics is analysed . at last the self - tuning pid control system based on dsp is designed
最后，设计了基于dsp的磁浮轴承系统的自校正pid控制系统。 |
| 4. | Introduces the self - adaptive fuzzy control technique to the pid control system of a central air conditioning system in order to improve the control precision , stability and other performance
摘要将自适应模糊控制技术引入到集中空调pid控制系统中，以提高系统的控制精度、稳定性和其他性能。 |
| 5. | In this thesis , i built the mathematical model of 2r robot firstly , and designed the robot follow track pid control system . it could eliminate effectively the system static error
文中首先建立了两关节机器人的数学模型,并构造了机器人轨迹跟踪的pid控制系统,它能有效的消除系统的稳态误差。 |
| 6. | The results of experiment show that the maximum overshoot and static error of dynamic output of fuzzy control system are more less than that of pid control system , and it also has good robustness and stability
实验结果表明，模糊控制器动态输出的超调量和静态误差均比传统pid小，并且控制系统具有良好的稳定性。 |
| 7. | According to the experiences and data of the skilled operators , a feed - forward controller which is based on the neural network technology was added on the conventional cascade pid control system
文中根据电厂熟练运行操作员的实际操作经验和数据，在常规串级pid控制系统的基础上，增加设计了基于神经网络技术的前馈控制器。 |
| 8. | The ball mill pulverizing system is a mimo system with strong coupling , long time delay and time changing apparently . with traditional pid control system , the controlling result is not so satisfying
火力发电厂球磨机制粉系统是一个多变量的对象，各个变量之间不仅存在着严重的耦合，而且一些变量还存在着很大的纯迟延及时变性。 |
| 9. | The contradiction between respond speed of normal pid control system and overshoot is solved by joining a non - liner gain before a liner pid controller with constant gain
通过在一个线性具有固定增益的pid控制器前串联一个非线性增益来对系统进行调节，解决了常规pid控制系统的响应速度和超调量之间的矛盾，最终使系统达到较好的动态性能。 |
| 10. | It did digital simulation to the controll system , and the results were compared with the pid control system . it got that the result was better which was the response time was shorter , the capability of tracking the input changing and the self adapting was stronger
得出, bp神经网络比pid对系统的控制效果更好,表现在阶跃响应时间较短,跟随输入参数变化的能力强,有很强的自适应能力和鲁棒性。 |
