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In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost)...
In this paper, a new combined approach for fault detection and diagnosis (FDD) of abrupt additive actuator and sensor faults, based on Kalman observer (KFO), on sliding mode observers (SMO), on singular values decomposition (SVD), and on principal component analysis (PCA), is proposed. The main contribution is the combined approach proposed for FDD based on ratios between singular values of the adaptive...
In this paper an approach to design controllers based on principal components analysis (PCA) models is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. This PCA controller, results in an integral controller, which can be used as an inferential controller when a measurement of a primary variable is not available. The main contributions...
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