Aplicação Do Método Do Gradiente E Do Método Dos Mínimos Quadrados Recursivo Para Análise De Desempenho Do Controle Adaptativo Por Modelo De Referência

Canhan, Diego Carrião; Brolin, Leandro Castilho; Rossini, Flávio Luiz

doi:10.22533/at.ed.2702211118

“…No entanto, a Eq. (10) torna-se verdadeira se ambos os parâmetros 𝑎 𝑝 e 𝑏 𝑝 são conhecidos. Contudo, ao considerar um projeto de CAMR em que os parâmetros do processo são desconhecidos, buscou-se uma forma de contornar tal situação.…”

Section: Discussionunclassified

“…Figures 8,9,10,and 11 present the robust residuals when this kind of fault occurs. As a result of the isolation scheme applied, the residuals generated by the UIO correspondent to the rotational velocity sensor, are insensitive to that fault, see figure11.…”

mentioning

confidence: 99%

Engenharia de controle e automação: estudos fundamentais

2023

Engenharia De Controle E Automação: Estudos Fundamentais

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Helicopters are high cost and safety systems with a strong control system designed to maintain the helicopter performance, stability, and ight qualities. However, there exist faults that negatively a_ect the helicopter desirable behaviour; therefore, fault detection and isolation must be done to early detect, isolate and eliminate these faults. Because of helicopters are strongly nonlinear systems, and are a_ected by uncertainties and by external disturbances as wind bursts, robust residuals generation is required to correctly detect and isolate faults in the helicopter actuators and sensors. This paper leads with the robust fault detection and isolation of a six-degree of freedom helicopter benchmark using the disturbance decoupling method and the unknown input observer robust residuals generator. A generalized observer scheme is employed for fault isolation purposes.

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“…Initially proposed in the late 1950s, the MRAC system, aims to regulate a given system so that its output signal tracks a certain signal obtained from the pre-established model in the design [10] (𝑠) is the signal that describes the expected closed-loop behavior of the MRAC system. The block diagram of the typical MRAC system, is illustrated in Fig.…”

Section: Model Reference Adaptive Control (Mrac)mentioning

confidence: 99%

“…This processing block simultaneously receives information from the control signal 𝑢(𝑡), which controls the process. From this information, the adaptation algorithm provides the system controller with a gain vector 𝜗 ̂(𝑡) [10] [11] [12]. For the construction of the adaptation mechanism, the insertion of a parameter estimation algorithm was performed.…”

Section: Model Reference Adaptive Control (Mrac)mentioning

confidence: 99%

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Design and Simulation of a Model Reference Adaptive Control System Using the Recursive Least Squares Method with Forgetting Factor for Gain Adjustment

Coldebella¹,

Júnior²,

Bernardo³

2023

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This article coupled the Recursive Least Squares Method with Forgetting Factor (RLS-FF) to a Model Reference Adaptive Control (MRAC) system and described an analysis for a second-order plant with variable and unknown parameters. In the industrial context, manufacturing processes demand to be controlled, however there are variant and even unknown parameters, a consequence of non-modeled dynamics. Thus, an algorithm capable of estimating the controller gains from the RLS-FF was proposed. Next, the MRAC simulation was carried out and the numerical results were obtained, regarding the target parameters of the control system. Through mathematical description and computational simulation, the results were promising, such as the convergence of controller gains. Therefore, this article aims to contribute with students and professionals in the field of Control and Automation, who are looking for models of adaptive control systems, in order to check, compare and implement new embedded technologies.

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Controle LQI aplicado a um Conversor CC-CC Boost em um Sistema FV Autônomo

Carralero¹,

Santos²,

Bahia³

et al. 2023

Engenharia De Controle E Automação: Estudos Fundamentais

0

View full text Add to dashboard Cite

Helicopters are high cost and safety systems with a strong control system designed to maintain the helicopter performance, stability, and ight qualities. However, there exist faults that negatively a_ect the helicopter desirable behaviour; therefore, fault detection and isolation must be done to early detect, isolate and eliminate these faults. Because of helicopters are strongly nonlinear systems, and are a_ected by uncertainties and by external disturbances as wind bursts, robust residuals generation is required to correctly detect and isolate faults in the helicopter actuators and sensors. This paper leads with the robust fault detection and isolation of a six-degree of freedom helicopter benchmark using the disturbance decoupling method and the unknown input observer robust residuals generator. A generalized observer scheme is employed for fault isolation purposes.

show abstract

Aplicação Do Método Do Gradiente E Do Método Dos Mínimos Quadrados Recursivo Para Análise De Desempenho Do Controle Adaptativo Por Modelo De Referência

Cited by 3 publications

References 0 publications

Engenharia de controle e automação: estudos fundamentais

Engenharia de controle e automação: estudos fundamentais

Design and Simulation of a Model Reference Adaptive Control System Using the Recursive Least Squares Method with Forgetting Factor for Gain Adjustment

Controle LQI aplicado a um Conversor CC-CC Boost em um Sistema FV Autônomo

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