Shunt Indirect Variable Structure Model Reference Adaptive Controller for plants with arbitrary relative degree

Fernandes, Marcus V. A.; Dias, Samaherni; Araujo, Aldayr D.; Oliveira, Jackson Araújo de; Queiroz, Kurios

doi:10.1109/vss.2010.5544701

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…is the proposed shunt compensator. The detailed description of the parameters of the SIVS-MRAC may be found in Fernandes et al (2010). The method used to tune the PID was the first method of Ziegler-Nichols.…”

Section: Methodsmentioning

confidence: 99%

“…To adjust these parameters, many methods may be used, all based on an available model for the plant and performance requirements, such as settle time or overshoot. The SIVS-MRAC project makes the assumption that the plant model has known and limited uncertainties and it uses switched adaptive laws which act on these same uncertainties (Fernandes et al, 2010). A complete theoretical description and the stability analysis may be found in Oliveira and Araujo (2008), being the main objective of this work the computer simulation of the SIVS-MRAC, when applied to the temperature control of a drying system.…”

Section: Pid and Ivs-mrac Controllersmentioning

confidence: 99%

“…Its application on an industrial environment can be seen in Oliveira et al (2010). The general case for the IVS-MRAC was presented in Fernandes et al (2010) and it was named Shunt IVS-MRAC (SIVS-MRAC). It introduces a parallel compensator to the original plant, and, by this strategy, the entire system (plant + shunt compensator) becomes of unitary relative degree, thus allowing the use of the original IVS-MRAC in series with a PI controller.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Simulation of a Temperature Robust Control in Grain Drying Systems for Thermal Damage Reduction

Oliveira

Fernandes²,

Teixeira³

2012

Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics

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Informatics plays an imperative role in the designing and tuning of new control systems strategies, since the computational simulation of such systems is part of the entire process of applying an algorithm on a real environment. This paper presents an alternative to the Proportional-Integrative-Derivative (PID) controller for temperature control in grain drying systems. The PID controller may present undesirable oscillations in the presence of external disturbances associated with agroindustrial facilities, thus demanding a precise and automatic tuning during the entire process. Robust controllers are suitable and recommended for the drying final quality, since the grains are offered a thermal damage reduction when submitted to abrupt temperature variations, as fragility and even crack during processing. Simulation results on an experimental model of a nonlinear robust controller, named Shunt Indirect Variable Structure Model Reference Adaptive Controller (SIVS-MRAC) are shown. Performance results before disturbances and parametric variations are compared with the PID behaviour. 561 B. de Oliveira J., V. A. Fernandes M. and R. L. Teixeira L.. Modeling and Simulation of a Temperature Robust Control in Grain Drying Systems for Thermal Damage Reduction.

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Section: Methodsmentioning

confidence: 99%

Section: Pid and Ivs-mrac Controllersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Simulation of a Temperature Robust Control in Grain Drying Systems for Thermal Damage Reduction

Oliveira

Fernandes²,

Teixeira³

2012

Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics

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“…Variable Structure Model Reference Adaptive Control (VS-MRAC) has been widely investigated and developed in both theoretical aspects and real world applications over the past few decades (Fernandes et al, 2010; Gaeta and Montanaro, 2014; Han et al, 2007; Lee and Singh, 2012; Oliveira et al, 2007; Queiroz et al, 2010; Saedodin et al, 2010; Teixeira et al, 2013; Trajkov et al, 2008; Xu and Yan, 2008; Demetriou, 2002; Yan, 2000). It consists of combining two known approaches, namely, variable structure control (Hsu and Costa, 1989; Sabanovic et al, 2004; Nunes, 2006), known for its robustness against unmodelled dynamics, and the model reference adaptive control (Ioannou and Sun, 1996; Tao, 2003), known for its tracking capability.…”

Section: Introductionmentioning

confidence: 99%

Discrete variable structure model reference adaptive control using only input-output measurements

Znidi

Dehri

Nouri

2016

Transactions of the Institute of Measurement and Control

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Designing an adequate controller for a plant with an arbitrary relative degree is still an active area of research. In this paper, a discrete variable structure model reference adaptive control using only input-output measurements (DVS-MRAC-IO) for not strictly positive real systems with a relative degree of two is proposed. In order to show the effectiveness of the proposed controller, a detailed stability analysis is studied using Lyapunov theory. Further, a straightforward generalization of DVS-MRAC-IO for systems with arbitrary relative degree is presented. Numerical results are used to show the effectiveness of the proposed methods.

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Non-parametric Dual Control of Non-minimum Phase Linear Dynamic Plant Using Shunt Compensator

Raskina

Chzhan

Yareshchenko

et al. 2022

Int. J. Control Autom. Syst.

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Shunt Indirect Variable Structure Model Reference Adaptive Controller for plants with arbitrary relative degree

Cited by 3 publications

References 4 publications

Modeling and Simulation of a Temperature Robust Control in Grain Drying Systems for Thermal Damage Reduction

Modeling and Simulation of a Temperature Robust Control in Grain Drying Systems for Thermal Damage Reduction

Discrete variable structure model reference adaptive control using only input-output measurements

Non-parametric Dual Control of Non-minimum Phase Linear Dynamic Plant Using Shunt Compensator

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