In this paper a model for a pilot-scale tubular reactor is developed using aggregated-parameters. The resulting model is a linear-varying system with time-varying delay, with the delay in the state. This model is simu...
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In this paper a model for a pilot-scale tubular reactor is developed using aggregated-parameters. The resulting model is a linear-varying system with time-varying delay, with the delay in the state. This model is simu...
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In this paper a model for a pilot-scale tubular reactor is developed using aggregated-parameters. The resulting model is a linear-varying system with time-varying delay, with the delay in the state. This model is simulated and compared to the results obtained from experiments performed on a pilot-scale tubular reactor. In order to design a tracking control and considering the characteristics of the resulting model, predictivecontrol techniques are used. A tracking controller using the block control technique is proposed and is applied during simulation, the results are shown. (C) 2017, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper, a robust predictor neural sliding mode control algorithm for a Doubly Fed Induction Generator based Wind Turbine is proposed. To improve the robustness of the proposed controller in presence of the para...
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In this paper, a robust predictor neural sliding mode control algorithm for a Doubly Fed Induction Generator based Wind Turbine is proposed. To improve the robustness of the proposed controller in presence of the parameter variations and disturbances, a Recurrent High Order Neural Network identifier trained on-line using an Extended Kalman Filter is proposed. In addition, to compensate the measurement delay in stator and rotor current, a robust predictor-based controller is integrated with the control scheme. To show the importance of the proposed control scheme, different experiments are done such as ideal condition, measurements delay, and presence of parameter variations. Simulation results illustrate the effectiveness of proposed control scheme even in presence of reference changing, parameter variations, and measurement delay. In addition, the stability, decoupling, and convergence are achieved. (C) 2018, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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