英语翻译We also compared our results with a classical PID controller and with a fuzzy Mamdani controller,to measure how much the adaptive fuzzy approach could improve the performance.Of course,our fuzzy con- troller (designed with ANFIS) was bett

英语翻译We also compared our results with a classical PID controller and with a fuzzy Mamdani controller,to measure how much the adaptive fuzzy approach could improve the performance.Of course,our fuzzy con- troller (designed with ANFIS) was bett
英语翻译
We also compared our results with a classical PID controller and with a fuzzy Mamdani controller,to measure how much the adaptive fuzzy approach could improve the performance.Of course,our fuzzy con- troller (designed with ANFIS) was better in tracking and adaptability than the other controllers.
Another advantage of this method over classical quantitative controllers is that it does not require a fixed sampling time.Therefore,the proposed design confirms the fact that fuzzy control is relevant to the control fast of non-linear processes such as stepping motor drives where quantitative methods are not al- ways appropriate.
In this paper,the feasibility of fuzzy control for step- ping motor drives has been proved and illustrated by simulation and experimentation.The best parameters for the fuzzy controller were determined by using the ANFIS methodology and also by using simulations of the stepping motor dynamics.An experimental system was used to validate experimentally the tracking ability and the insensibility to plant parameter changes.The fuzzy controller presented very interesting tracking features and was able to respond to different dynamic conditions.Also,the fuzzy control computation is very inexpensive,and this regulator could be used for the control of machine tools and robotics manipulators [6] without significantly increasing the cost of the drive.The only extra cost is for the optical encoder.Another advantage of this method over classical quantitative controllers is that it does not require a fixed sampling time.Therefore,the proposed design confirms the fact that fuzzy control is relevant to the control fast of non-linear processes such as step- ping motor drives where quantitative methods are not
always appropriate.
We would like to thank the Research Grant Com- mittee of COSNET and CONACYT for the financial support for performing this research work.We would also like to thank the Department of Computer Sci- ence of Tijuana Institute of Technology for the time and resources given to this project.

英语翻译We also compared our results with a classical PID controller and with a fuzzy Mamdani controller,to measure how much the adaptive fuzzy approach could improve the performance.Of course,our fuzzy con- troller (designed with ANFIS) was bett
为了衡量自适应模糊控制方法对控制性能的改善程度,我们还将我们的结果与传统PID控制器以及Mamdani模糊控制器进行了比较.结果证明,我们的模糊控制器（采用ANFIS设计）在跟踪性能和适应能力方面均优于其他控制器.
与传统定量控制器相比,这种方法的另一个好处是它不需要采用固定采样时间.因此,我们推出的设计方法再次验证了一个事实,即模糊控制更适用于类似步进电机驱动这样一些非线性过程的快速控制,而定量控制方法在这里则并非总是适合.
本文通过仿真和试验的方法验证了模糊控制对步进电机驱动控制的可行性,并采用ANFIS方法论和步进电机动态仿真确定了模糊控制器的最佳控制参数.为了验证控制器的跟踪能力以及对设备参数变化的不敏感性,我们还专门设计使用了一套实验系统.模糊控制器表现出了非常有趣的跟踪特性,并且可以对不同的动态条件作出响应.另外,这种模糊控制计算的成本不高,其构成的调节器可以用作机械工具和机器人操作器[6],而不会明显增加设备驱动成本.它的唯一额外成本就是它的光编码器.
我们要感谢COSNET研究基金会对本项研究工作的经费支持.另外,我们还要感谢提华纳技术学院计算机科学系给予本项目的时间和资源的提供.

我们也比较了我们的结果与经典PID控制器和一个模糊Mamdani控制器,测量多少自适应模糊方法可以提高其性能。当然,我们的模糊共同" troller(简称ANFIS)设计是更好的记录和适应性比其他控制器。
该方法的另一个优势,在古典定量控制律,它不需要一个固定的采样时间。因此,该控制器设计的事实证实了模糊控制相关的控制快速的非线性处理,如:在步进电机驱动方法定量方式见ad -不合适。

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我们也比较了我们的结果与经典PID控制器和一个模糊Mamdani控制器,测量多少自适应模糊方法可以提高其性能。当然,我们的模糊共同" troller(简称ANFIS)设计是更好的记录和适应性比其他控制器。
该方法的另一个优势,在古典定量控制律,它不需要一个固定的采样时间。因此,该控制器设计的事实证实了模糊控制相关的控制快速的非线性处理,如:在步进电机驱动方法定量方式见ad -不合适。
摘要模糊控制的可行性平电动机驱动的一步——已经证明说明通过仿真和实验。最佳参数的分析,确定了模糊控制器采用简称ANFIS方法和利用模拟也步进电机动态。一个实验系统用于检验进行了跟踪能力和充耳不闻植物的参数变化。提出了一种模糊控制器很有趣的跟踪特点和也会产生反应不同动力学条件。同时,模糊控制计算非常低廉,这调节剂可被用于控制的机床和机器人臂[6]没有显著的增加成本的驱动器。唯一的额外成本是光学编码器。该方法的另一个优势,在古典定量控制律,它不需要一个固定的采样时间。因此,该控制器设计的事实证实了模糊控制相关的控制快速的非线性过程,如一步——在定量方法平电动机驱动的
很适合的。
我们要感谢科研补助表示"的mittee COSNET和CONACYT对金融支持进行这类的研究工作。我们也要感谢部门没有计算机科学,偷越技术学院时间和资源给这个项目。

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