作者:
Juuso, Esko K.Yebra, Luis J.Control Engineering Laboratory
Department of Process and Environmental Engineering University of Oulu FI-90014 Finland CIEMAT
Plataforma Solar de Almería Automatic Control Group Crta. de Seńes s/n Tabernas Almería04200 Spain
Solar power plants collect available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessa...
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In this paper, an alternating direction method of multipliers (ADMM) based realtime model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constrai...
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The extension of the backstepping-based state observer design is considered for general periodic quasi-linear parabolic PDEs in one space dimension. Here, the extended linearization combined with a suitable coordinate...
The extension of the backstepping-based state observer design is considered for general periodic quasi-linear parabolic PDEs in one space dimension. Here, the extended linearization combined with a suitable coordinate and state transformation is employed. This allows for the application of the backstepping method for the determination of an extended Luenberger observer with observer gains entering the PDE and the boundary condition which ensures an exponential decay of the linearized observer error dynamics. This is confirmed analytically, while the convergence of the quasi-linear observer error system is studied in numerical simulations.
This study suggests a moving horizon H8 control scheme for variable speed wind turbines above the rated wind speed to maintain the output power at the rated value for variable operating points. A constrainedH8 control...
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This paper deals with actuator fault estimation for a class of discrete-time nonlinear systems whose linear part is described by a Linear Parameter-Varying (LPV) form and nonlinear term is Lipschitz. In this paper, an...
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作者:
Esko K. JuusoLuis J. YebraControl Engineering Laboratory
Department of Process and Environmental Engineering FI-90014 University of Oulu Finland CIEMAT
Plataforma Solar de Almería Automatic Control Group Crta. de Senés s/n 04200 Tabernas Almería Spain
Solar power plants collect available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessa...
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Solar power plants collect available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessary shutdowns and start-ups. Fast and well damped linguistic equation (LE) controllers have been tested in Spain at a collector field, which uses parabolic-trough collectors to supply thermal energy in form of hot oil to an electricity generation system or a multi-effect desalination plant. control is achieved by means of varying the flow pumped through the pipes in the field during the operation. The nights and the heavy cloud periods need to come up with the storage. The smart LE controllers extend the operation to varying cloudy conditions and handle efficiently disturbances in energy demand. The predefined model-based adaptation techniques are combined with special features when needed. The intelligent state indicators react well to the changing operating conditions and can be used in smart working point control to further improve the operation in connection with the other energy sources. The controller reacts efficiently on the setpoint changes, clouds and load disturbances. The predictive braking action allows fast changes in control actions. The setpoint is achieved accurately with the new asymmetrical action. The working point can be chosen in a way which improves the efficiency of the energy collection.
In this paper, an alternating direction method of multipliers (ADMM) based real-time model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constra...
In this paper, an alternating direction method of multipliers (ADMM) based real-time model predictive control (MPC) algorithm is presented. With the use of indicator function and by introducing extra consensus constraints, the constrained MPC problem can be formulated as a separable MPC problem, which can be computed very efficiently by projected gradient descent ADMM update steps and Riccati recursions. The sequence of the objective value of this constrained real-time ADMM-type MPC algorithm satisfies a linear convergence rate. The procedure is also extended to distributed systems with constraints, in which the variables of each subsystems communicate with their neighbors and update in the Gauss-Seidel way. An illustrative example shows the effectiveness of this approach.
This paper proposes a sensor fault diagnosis method for a class of discrete-time linear time-varying (LTV) systems. In this paper, the considered system is firstly formulated as a descriptor system representation by c...
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This paper proposes a sensor fault diagnosis method for a class of discrete-time linear time-varying (LTV) systems. In this paper, the considered system is firstly formulated as a descriptor system representation by considering the sensor faults as auxiliary state variables. Based on the descriptor system model, a fault estimation filter which can simultaneously estimate the state and the sensor fault magnitudes is designed via a minimum-variance principle. Then, a fault diagnosis scheme is presented by using a bank of the proposed fault estimation filters. The novelty of this paper lies in developing a sensor fault diagnosis method for discrete LTV systems without any assumption on the dynamic of fault. Another advantage of the proposed method is its ability to detect, isolate and estimate sensor faults in the presence of process noise and measurement noise. Simulation results are given to illustrate the effectiveness of the proposed method.
This paper proposes two techniques to control DTC (Direct Torque control) and DPC (Direct Power control), applied to the system of converting wind energy with a double-fed asynchronous machine. Conventionally, the DTC...
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This paper presents the synthesis of an adaptive observer which is used for the improvement of the direct torque control of induction motor drives. The observer detects stator flux components in two-phase stationary r...
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This paper presents the synthesis of an adaptive observer which is used for the improvement of the direct torque control of induction motor drives. The observer detects stator flux components in two-phase stationary reference frame, rotor speed and stator resistance by measure of the stator terminal voltages and currents. The observer is adapted using a simple algorithm which does not imply a high computational load. Stability analysis based on Lyapunov theory is performed in order to guarantee the closed loop stability. Simulation tests under load disturbance and stator resistance variation are provided to evaluate the consistency and performance of the proposed control technique in the low and high speeds.
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