问题描述:
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.
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.
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