Navegando por Assunto "Stochastic augmentation"

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Acesso aberto (Open Access)
Augmentação estocástica com horizonte de predição estendido baseada no PID para um sistema multivariável
(Universidade Federal do Pará, 2019-10-25) CRUZ, Jahyrahã Leal dos Santos; SILVEIRA, Antonio da Silva; http://lattes.cnpq.br/1828468407562753
The objective of this research was to investigate and design a control system based on the Stochastic Augmentation with Extended Prediction Horizon using 10-steps ahead, consisting of the union of characteristics of a linear deterministic controller with a stochastic predictive controller, resulting in a control system with guaranteed robustness and with predictive, linear, and stochastic characteristics. For the application of the Stochastic Augmentation, the chosen controllers were the classic PID and the GMV in its incremental form, where the former was augmented resulting in a controller with extended prediction horizon, the AEHP. The classic PID controller in the discrete time domain is compared to AEHP. Both controllers were tested in simulations with a process model that represents the dynamics of a helicopter, denominated 2DOF Helicopter (H2DOF), produced by the Quanser company. The H2DOF is a multivariable system, whose model in the state space is transformed to the transfer function form, generating two coupled subsystems, one for the pitch angle and other to the yaw angle, in which the couplings influence were considered as disturbances in the controllers design stage. The transformation of the system model to the transfer function form reduced the complexity of multivariable system in the state space, allowing the use of a more simple control law. Furthermore, it was performed the pairing of input and output, to verify what output was more sensible the one specific input, by means of Relative Gain Array. And to prove the control system efficiency based in the Stochastic Augmentation with extended prediction horizon, simulations were realized using the software Matlab®, assessing the performance of extended prediction horizon, enduring the coupled dynamics, facing load disturbances and Gaussian disturbances. The essays were evaluated by robustness and performance indices. The predictive AEHP controller obtained better results for most indices with guaranteed robustness, compared to the discrete-time PID controller.
Acesso aberto (Open Access)
Controlador GMV aplicado à regulação do ângulo de passo em um sistema de conversão de energia eólica: uma abordagem linear, preditiva e estocástica
(Universidade Federal do Pará, 2017-04-07) SILVA, Anderson de França; SILVEIRA, Antonio da Silva; http://lattes.cnpq.br/1828468407562753
In this research, we investigated linear, predictive and stochastic control techniques applied to the pitch angle control of a Wind Turbine. The topology of the Wind Energy Conversion System (WECS) studied was the Fixed-Speed Variable-Pitch. The WECS, in general, is a system that, during their operation, is subject to the constant entry of stochastic disturbances. This type of disturbance is often neglected, which will negatively affect the performance of controllers whose design was based on deterministic models. Researches developed within the Predictive and Stochastic Control Theory, have proven the benefits of performing the design of controllers based on models that consider both the deterministic and stochastic portions of the process. Following this same design approach, the Picth Angle Control (PAC) project was developed, in this dissertation, using the Stochastic Augmentation (SA) of deterministic controllers. The main objectives sought, were: to minimize the energy consumption of the control system; and to reduce the costs related to the maintenance and replacement of actuators in the pitch angle control system. Simulation tests were performed on a MathWorks® WECS simulator. The results of the tests have proved the good performance of the PAC designed through the SA, which reached the control objectives sought with the development of this research.