The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Robain De Keyser - One of the best experts on this subject based on the ideXlab platform.
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tuning of fractional order proportional integral proportional derivative controllers based on existence conditions
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2019Co-Authors: Cristina I. Muresan, Clara M. Ionescu, Isabela R. Birs, Robain De KeyserAbstract:Fractional order proportional integral and proportional derivative controllers are nowadays quite often used in research studies regarding the control of various types of processes, with several papers demonstrating their advantage over the traditional proportional integral/proportional derivative controllers. The majority of the tuning techniques for these fractional order proportional integral/fractional order proportional derivative controllers are based on three frequency-domain Specifications, such as the open-loop gain crossover frequency, phase margin and the iso-damping property. The tuning parameters of the controllers are determined as the solution of a system of three nonlinear equations resulting from the Performance criteria. However, as with any system of nonlinear equations, it might occur that for a certain process and with some specific Performance criteria, the computed parameters of the fractional order proportional integral/fractional order proportional derivative controllers do not fall into a range of values with correct physical meaning. In this article, a study regarding this limitation, as well as the existence conditions for the fractional order proportional integral/fractional order proportional derivative parameters are presented. The method could also be extended to the more complex fractional order proportional-integral-derivative controller. The aim of this research is directed toward demonstrating that when designing fractional order proportional integral/fractional order proportional derivative controllers, the choice of the Performance Specifications should be done based on some specific design constraints. The article shows that given a specific process and open-loop modulus and phase Specifications, the gain crossover frequency (or in general, a certain test frequency used in the design), specified as a Performance Specification, must be selected such that the process phase fulfills an important condition (design constraint). Once this is met, the proposed approach ensures that the tuning parameters of the fractional order controller will have a physical meaning. Illustrative examples are included to validate the results.
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Tuning of fractional order proportional integral/proportional derivative controllers based on existence conditions:
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2018Co-Authors: Cristina I. Muresan, Clara M. Ionescu, Isabela R. Birs, Robain De KeyserAbstract:Fractional order proportional integral and proportional derivative controllers are nowadays quite often used in research studies regarding the control of various types of processes, with several papers demonstrating their advantage over the traditional proportional integral/proportional derivative controllers. The majority of the tuning techniques for these fractional order proportional integral/fractional order proportional derivative controllers are based on three frequency-domain Specifications, such as the open-loop gain crossover frequency, phase margin and the iso-damping property. The tuning parameters of the controllers are determined as the solution of a system of three nonlinear equations resulting from the Performance criteria. However, as with any system of nonlinear equations, it might occur that for a certain process and with some specific Performance criteria, the computed parameters of the fractional order proportional integral/fractional order proportional derivative controllers do not fall into a range of values with correct physical meaning. In this article, a study regarding this limitation, as well as the existence conditions for the fractional order proportional integral/fractional order proportional derivative parameters are presented. The method could also be extended to the more complex fractional order proportional-integral-derivative controller. The aim of this research is directed toward demonstrating that when designing fractional order proportional integral/fractional order proportional derivative controllers, the choice of the Performance Specifications should be done based on some specific design constraints. The article shows that given a specific process and open-loop modulus and phase Specifications, the gain crossover frequency (or in general, a certain test frequency used in the design), specified as a Performance Specification, must be selected such that the process phase fulfills an important condition (design constraint). Once this is met, the proposed approach ensures that the tuning parameters of the fractional order controller will have a physical meaning. Illustrative examples are included to validate the results.
S R Matos - One of the best experts on this subject based on the ideXlab platform.
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design of pi and pid controllers with transient Performance Specification
IEEE Transactions on Education, 2002Co-Authors: Joao Carlos Basilio, S R MatosAbstract:Proportional-integral-derivative (PID) controllers are widely used in industrial control systems because of the reduced number of parameters to be tuned. The most popular design technique is the Ziegler-Nichols method, which relies solely on parameters obtained from the plant step response. However, besides being suitable only for systems with monotonic step response, the compensated systems whose controllers are tuned in accordance with the Ziegler-Nichols method have generally a step response with a high-percent overshoot. In this paper, tuning methods for proportional-integral (PI) and PID controllers are proposed that, like the Ziegler-Nichols method, need only parameters obtained from the plant step response. The methodology also encompasses the design of PID controllers for plants with underdamped step response and provides the means for a systematic adjustment of the controller gain in order to meet transient Performance Specifications. In addition, since all the development of the methodology relies solely on concepts introduced in a frequency-domain-based control course, the paper has also a didactic contribution.
Isabela R. Birs - One of the best experts on this subject based on the ideXlab platform.
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tuning of fractional order proportional integral proportional derivative controllers based on existence conditions
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2019Co-Authors: Cristina I. Muresan, Clara M. Ionescu, Isabela R. Birs, Robain De KeyserAbstract:Fractional order proportional integral and proportional derivative controllers are nowadays quite often used in research studies regarding the control of various types of processes, with several papers demonstrating their advantage over the traditional proportional integral/proportional derivative controllers. The majority of the tuning techniques for these fractional order proportional integral/fractional order proportional derivative controllers are based on three frequency-domain Specifications, such as the open-loop gain crossover frequency, phase margin and the iso-damping property. The tuning parameters of the controllers are determined as the solution of a system of three nonlinear equations resulting from the Performance criteria. However, as with any system of nonlinear equations, it might occur that for a certain process and with some specific Performance criteria, the computed parameters of the fractional order proportional integral/fractional order proportional derivative controllers do not fall into a range of values with correct physical meaning. In this article, a study regarding this limitation, as well as the existence conditions for the fractional order proportional integral/fractional order proportional derivative parameters are presented. The method could also be extended to the more complex fractional order proportional-integral-derivative controller. The aim of this research is directed toward demonstrating that when designing fractional order proportional integral/fractional order proportional derivative controllers, the choice of the Performance Specifications should be done based on some specific design constraints. The article shows that given a specific process and open-loop modulus and phase Specifications, the gain crossover frequency (or in general, a certain test frequency used in the design), specified as a Performance Specification, must be selected such that the process phase fulfills an important condition (design constraint). Once this is met, the proposed approach ensures that the tuning parameters of the fractional order controller will have a physical meaning. Illustrative examples are included to validate the results.
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Tuning of fractional order proportional integral/proportional derivative controllers based on existence conditions:
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2018Co-Authors: Cristina I. Muresan, Clara M. Ionescu, Isabela R. Birs, Robain De KeyserAbstract:Fractional order proportional integral and proportional derivative controllers are nowadays quite often used in research studies regarding the control of various types of processes, with several papers demonstrating their advantage over the traditional proportional integral/proportional derivative controllers. The majority of the tuning techniques for these fractional order proportional integral/fractional order proportional derivative controllers are based on three frequency-domain Specifications, such as the open-loop gain crossover frequency, phase margin and the iso-damping property. The tuning parameters of the controllers are determined as the solution of a system of three nonlinear equations resulting from the Performance criteria. However, as with any system of nonlinear equations, it might occur that for a certain process and with some specific Performance criteria, the computed parameters of the fractional order proportional integral/fractional order proportional derivative controllers do not fall into a range of values with correct physical meaning. In this article, a study regarding this limitation, as well as the existence conditions for the fractional order proportional integral/fractional order proportional derivative parameters are presented. The method could also be extended to the more complex fractional order proportional-integral-derivative controller. The aim of this research is directed toward demonstrating that when designing fractional order proportional integral/fractional order proportional derivative controllers, the choice of the Performance Specifications should be done based on some specific design constraints. The article shows that given a specific process and open-loop modulus and phase Specifications, the gain crossover frequency (or in general, a certain test frequency used in the design), specified as a Performance Specification, must be selected such that the process phase fulfills an important condition (design constraint). Once this is met, the proposed approach ensures that the tuning parameters of the fractional order controller will have a physical meaning. Illustrative examples are included to validate the results.
J Van Dyk - One of the best experts on this subject based on the ideXlab platform.
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th e m100a 01 Performance Specification for new equipment purchases overview
Medical Physics, 2007Co-Authors: J Van DykAbstract:Every cancer treatment facility is involved in the purchase of new equipment. While the purchase process will vary from one institution to another, there are certain generic considerations that are addressed either overtly or indirectly. These considerations include: (1) clinical needs assessment, (2) definition of Specifications, selection and purchase process, (3) installation, (4) acceptance testing, (5) commissioning, (6) training, (7) clinical use, and (8) periodic quality control (QC). Medical physicists generally are involved in all of these considerations. For many technologies, committees or task groups have developed recommendations on acceptance testing, commissioning and QC. However, relatively little has been presented or published on what should be done before the purchase. The purpose of this Professional Symposium is to provide guidance to Medical Physicists on factors that they should consider in the Specification and purchase of new technologies within a radiation therapy department. This presentation will provide a generic overview for any technology in radiation therapy of the clinical needs assessment, the definition of Specifications and the purchase process. Other presenters in this symposium will address similar considerations but specifically for: (1) CT‐simulators and PET/CT, (2) radiation treatment planning systems, and (3) image guidance systems such as tomotherapy and linear accelerator with cone beam CT. Educational Objectives: 1. To describe the development of Performance Specifications of any new equipment to be purchased in a radiation therapy facility. 2. To describe issues to consider in the purchase of any new equipment for radiation therapy.
Nagarajan Kandasamy - One of the best experts on this subject based on the ideXlab platform.
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on the application of predictive control techniques for adaptive Performance management of computing systems
IEEE Transactions on Network and Service Management, 2009Co-Authors: Sherif Abdelwahed, Jia Bai, Nagarajan KandasamyAbstract:This paper addresses adaptive Performance management of real-time computing systems. We consider a generic model-based predictive control approach that can be applied to a variety of computing applications in which the system Performance must be tuned using a finite set of control inputs. The paper focuses on several key aspects affecting the application of this control technique to practical systems. In particular, we present techniques to enhance the speed of the control algorithm for real-time systems. Next we study the feasibility of the predictive control policy for a given system model and Performance Specification under uncertain operating conditions. The paper then introduces several measures to characterize the Performance of the controller, and presents a generic tool for system modeling and automatic control synthesis. Finally, we present a case study involving a real-time computing system to demonstrate the applicability of the predictive control framework.