QFT robust control of a Vega-type space launcher

García-Sanz, Mario; Molins, Carlos

doi:10.1109/med.2008.4602056

Cited by 9 publications

(11 citation statements)

References 5 publications

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“…There exist different Computer Aided Design (CAD) packages to make the controller tuning easier. Some examples of these CAD packages are QFT Toolbox for Matlab [11], QFT Control Toolbox (QFTCT) [12] and QFT Interactive Tool [13].…”

Section: Plant Templatesmentioning

confidence: 99%

Low level control of an omnidirectional mobile robot

Comasolivas

Quevedo

Escobet

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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Abstract-This paper presents the low level control of an holonomic robot with four omnidirectional wheels. A robust control technique named Quantitative Feedback Theory (QFT), based on an uncertain linear model has been selected to design the PID speed controllers for the four-wheeled robot. A piecewise model has been estimated by means of the least squares estimation approach based on experimental results of the robot in closed loop. In particular, the control is designed using this piecewise model. The performances of the proposed approach are analyzed in real time domain.

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Section: Plant Templatesmentioning

confidence: 99%

Low level control of an omnidirectional mobile robot

Comasolivas

Quevedo

Escobet

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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“…The theory and implementation of the QFT controller are described by Horowitz [26]. In this paper, a few steps explaining how to build this controller based on the toolbox given by [27] are described.…”

Section: Design Of Qft Controllermentioning

confidence: 99%

Identification and control of a trilayer conjugated polymer actuator

Blanchard¹,

Nguyen²

2014

Smart Mater. Struct.

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This paper presents the effect of three uncertain parameters on a recent model of conjugated polymer actuators and implements a robust controller based on the model developed for this actuator. These uncertain parameters are the diffusion coefficient (D), the charge capacitance (C d ) and the charge-to-strain ratio (α), which are difficult to measure directly. The parameter estimation method used in this article is based on a Bayesian cost function, and gives us an insight on how much the estimation can be trusted, which is useful information for the design of controllers. Results indicate that the charge capacitance is the best known parameter and should therefore be designed for with greater confidence in its value, while the controller should be much more robust with respect to the diffusion coefficient and the charge-to-strain ratio. Based on this finding, a robust controller based on the quantitative feedback theory is implemented and compared with a conventional PID controller. This results in an improvement of the control performance.

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“…The EDA method has been applied to solve the classical tracking specification problem [12]. To the best of the authors' knowledge, the EDA method is not explored for the MIMO TES problem with the inversion feedforward, except the work on single input single output (SISO) case in Reference [13]. Consequently, the main technical contributions are summarized as follows.…”

Section: Introductionmentioning

confidence: 99%

A Robust Controller for Multivariable Model Matching System Utilizing a Quantitative Feedback Theory: Application to Magnetic Levitation

Jeyasenthil

Choi

2019

Applied Sciences

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This paper proposes a systematic feedback controller design methodology for multi-input multi-output (MIMO) uncertain systems using the quantitative feedback theory (QFT). To achieve this goal, the model matching problem was considered and the inversion feedforward controller was designed to improve control performance while reducing the demand on feedback control alone. The proposed method is formulated based on the concept of equivalent disturbance attenuation (EDA) approach in which the uncertain system problem is converted into an external disturbance rejection problem based on a nominal system. This proposed approach exhibiting non-sequential design method result in the suboptimal solution showing design simplicity and computational efficiency compared to the existing method. In order to validate the effectiveness of the proposed control methodology, the MIMO magnetic levitation system as adopted and control performances such as time response were presented in both time and frequency domains.

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QFT robust control of a Vega-type space launcher

Cited by 9 publications

References 5 publications

Low level control of an omnidirectional mobile robot

Low level control of an omnidirectional mobile robot

Identification and control of a trilayer conjugated polymer actuator

A Robust Controller for Multivariable Model Matching System Utilizing a Quantitative Feedback Theory: Application to Magnetic Levitation

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