The Design of QFT Robust Compensators with Magnitude and Phase Specifications

Author:

Moreno José Carlos1,Baños Alfonso2,Berenguel Manuel1

Affiliation:

1. Departamento de Lenguajes y Computación, Escuela Politécnica Superior, Universidad de Almeria, 04120 Almeria, Spain

2. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, 30100 Murcia, Spain

Abstract

The frequency response is an important tool for practical and efficient design of control systems. Control techniques based on frequency response are of special interest to dealing with important subjects such as the bandwidth and the cost of feedback. Furthermore, these techniques are easily adapted to deal with the uncertainty of the process to control. Quantitative feedback theory (QFT) is an engineering design technique of uncertain feedback systems that uses frequency domain specifications. This paper analyzes the phase specifications problem in frequency domain using QFT. This type of specification is not commonly taken into account due to the fundamental limitations of the linear control given by Bode's integral. An algorithm is proposed aimed at achieving prespecified closed-loop transfer function phase and magnitude variations, taking into account the plant uncertainty. A two-degrees-of-freedom feedback control structure is used and a new type of boundary is defined to satisfy these objectives. As the control effort heavily depends on a good estimation of these boundaries, the proposed algorithm allows avoiding overdesign.

Funder

Spanish Department of Education and Science

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic synthesis of feedforward elements in quantitative feedback theory;International Journal of Robust and Nonlinear Control;2021-06-04

2. Robust plant by plant control design using model‐error tracking sets;International Journal of Robust and Nonlinear Control;2019-04-16

3. Quantitative feedback control for multivariable model matching and disturbance rejection;International Journal of Robust and Nonlinear Control;2016-05-24

4. Real-time hardware ANN-QFT robust controller for reconfigurable micro-machine tool;The International Journal of Advanced Manufacturing Technology;2015-01-27

5. A quantitative feedback solution to the multivariable tracking error problem;International Journal of Robust and Nonlinear Control;2013-04-28

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