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Análise e desenvolvimento de algoritmos backstepping aplicados ao controle de corrente de conversores conectados à rede
(Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de Tecnologia, 2021-02-25)
This master thesis presents control strategies applied to converters connected to
the grid. Firstly, mathematical models are obtained, allowing a satisfactory representation
of the system. Therefore, control strategies ...
Estudo de algoritmos backstepping para o controle de correntes e estimação da velocidade rotórica em motores de indução trifásicos
(Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de Tecnologia, 2017-06-19)
This master dissertation presents the development of current control strategies and
the development of rotor speed observers using Backstepping algorithms. The Backstepping
algorithm is a recursive method used for ...
Controlador adaptativo backstepping a estrutura variavel com Observadores de estado
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2012-04-12)
This research aims at developing a variable structure adaptive backstepping controller
(VS-ABC) by using state observers for SISO (Single Input Single Output),
linear and time invariant systems with relative degree one. ...
Robust control of grid-tied parallel inverters using nonlinear backstepping approach
In modern electrical systems, solar energy extracted is integrated into electrical grid using
power converters. In most cases, several inverters are connected across the same dc link so that the
circulating currents ...
Discrete-time adaptive neural backstepping
(2008)
This chapter deals with adaptive tracking for a class of MIMO discrete-time nonlinear systems in presence of bounded disturbances. In this chapter, a high order neural network structure is used to approximate a control law ...
Discrete-time backstepping induction motor control using a sensorless recurrent neural observer
(2008)
This chapter deals with adaptive tracking for a class of MIMO discrete-time nonlinear systems in presence of bounded disturbances. In this chapter, a high order neural network structure is used to approximate a control law ...
Discrete-time backstepping neural control for synchronous generators
(2007)
This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in presence of bounded disturbances. In this paper, a high order neural network structure is used to approximate a control law designed by ...