英语翻译要求人工翻译,google翻译的不要The previous classification does not set an artificial boundary and some methods applied in practice may belong to more than one category.An excellent summary on PID tuning methods can be found in [

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英语翻译要求人工翻译,google翻译的不要The previous classification does not set an artificial boundary and some methods applied in practice may belong to more than one category.An excellent summary on PID tuning methods can be found in [
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英语翻译要求人工翻译,google翻译的不要The previous classification does not set an artificial boundary and some methods applied in practice may belong to more than one category.An excellent summary on PID tuning methods can be found in [
英语翻译
要求人工翻译,google翻译的不要
The previous classification does not set an artificial boundary and some methods applied in practice may belong to more than one category.An excellent summary on PID tuning methods can be found in [4],[18],[26],and [28].However,no tuning method so far can replace the simple Z-N method in terms of familiarity and ease of use to start with.Further,there exists a lack of methods that are generic and can be quickly applied to the design of onboard or onchip controllers for a wide range of consumer electronics,domestic appliances,mechatronic systems and microelectromechanical systems (MEMS).Over the past half century,search goes on to find the next key technology for PID tuning and modular realization [24].
H.PIDeasy—A Software-Based Approach
During the past decade,the Intelligent Systems research group at University of Glasgow has attempted to solve the PID design problem systematically,using modern computational intelligence technology.As a result,a design solution has been obtained in the form of software,PIDeasy [23].For simplicity
and reliability in PID applications,effort is made to maintain the controller structure in the “standard form,” while allowing optimal augmentation with simple and effective differentiator filtering and integrator anti-windup.High-performance particularly that of transient response is offered through setting the controller parameters optimally in a fraction of a millisecond,as soon as changes in process dynamics are detected.The optimality is multiobjective and is achieved by addressing existing
problems at the roots using modern computational intelligence techniques.The PIDeasy technology is targeted toward wider applications than the Z-N based and other techniques currently available,
so as to offer the following:
• optimal PID designs directly from offline or online plant response;
• generic and widest application to any first-order (and higher order) delayed plants;
• “off-the-computer” digital controller code in C++ and Java languages;
• no need for any follow-up refinements; and
• “plug-and-play” integration of an entire process of data acquisition,system identification,design,digital code implementation and online testing.

英语翻译要求人工翻译,google翻译的不要The previous classification does not set an artificial boundary and some methods applied in practice may belong to more than one category.An excellent summary on PID tuning methods can be found in [
先前的分类不设置人工边界,在实践中应用的一些方法可能属于多门学科.对PID调整方法可以在4,18,26和,28发现写得好的内容.但是,迄今为止,没有其他方法仍能取代它的熟练程度,提纯锌的方法简单,易用.此外,存在一个方法是通用的,可以迅速应用于车载或片上设计的消费电子产品缺乏广泛的控制器,家用电器,机电一体化系统和(MEMS)的微机电系统.在过去的半个世纪里,是搜索]以期找出下一个关键技术和模块化的PID调节实现.
每小时检索 -一个基于软件的方法
在过去十年中,智能系统在格拉斯哥大学的研究小组试图解决问题的PID设计系统,利用现代计算智能技术.因此,设计方案已获得在软件上的技术支持,为了简单起见
在PID和可靠性的应用,努力来维持在“标准形式控制器的结构,同时允许以简单而有效的差异化过滤和集成反挥臂最佳增强”.效率高,尤其是瞬间响应是通过设置一个毫秒,像在动态变化过程中发现一小部分的控制器参数优化了性能.多目标的最优性,并通过处理实现现有
在运用现代计算技术的智能技术. PIDeasy的根源问题主要面向基于比锌和其他技术目前广泛的应用,
以提供以下内容:
•最优的PID设计直接从脱机或联机装置的反应;
•通用和最广泛应用的任何一阶(和高阶)延迟植物;
•“现成的电脑”的数字控制器在C + +代码和Java语言的实践应用;
•无需任何后续改进的必要性;和
•“即插即用即插即用”的整个过程的数据采集整合,系统辨识,设计,数字代码执行和在线测试.