Abstract:Owing to the current evolution of computational tools, a complicated parameter optimization problem could be effectively solved by a computer. In this paper, a CAD tool for multi-objective controller design based on MATLAB program is developed. In addition, we construct simple GUIs (using GUIDE tools within MATLAB) to provide a visual approach in specifying the constraints. The linear controller design problem can be cast as the convex optimization subjected to time domain and frequency domain constraints. Thi… Show more
“…Consider the one-link flexible robot arm controller reduction problem [16] as in Example 2 of [11]. The transfer function of the flexible robot arm from the motor voltage signal to angular position of a load mass is given by The input weight V (s) = (I + G(s)K(s)) −1 and output weight W (s) = (I + G(s)K(s)) −1 G(s) are used as the frequency weighted models.…”
In this paper, we present an improvement to frequency weighted balanced truncation technique based on well-known partial fraction expansion. The method yields stable reduced-order model for double-sided weightings. A numerical example and comparison with other well-known techniques shows that a significant approximation error reduction can be achieved using this improvement.
“…Consider the one-link flexible robot arm controller reduction problem [16] as in Example 2 of [11]. The transfer function of the flexible robot arm from the motor voltage signal to angular position of a load mass is given by The input weight V (s) = (I + G(s)K(s)) −1 and output weight W (s) = (I + G(s)K(s)) −1 G(s) are used as the frequency weighted models.…”
In this paper, we present an improvement to frequency weighted balanced truncation technique based on well-known partial fraction expansion. The method yields stable reduced-order model for double-sided weightings. A numerical example and comparison with other well-known techniques shows that a significant approximation error reduction can be achieved using this improvement.
“…There are many examples of Matlab software used in design courses on diverse subjects, including: robotics 1–3; control theory 4, 5; four‐bar linkages 6, 7; signal analysis 8, 9; and, electrical power generation, transmission, and control 10–12. There are also several examples of Matlab use in thermal science courses.…”
“…Alternatively, the convex optimization over Q approach can be used to incorporate other design objectives (Boyd and Barratt, 1991). MATLAB software to achieve this is available (Khaisongkram and Banjerdpongchai, 2003). A weakness of the approach is that it is not clear how to choose the set Λ s .…”
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