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Showing 2 results for Behnamgol
Mr. Mohsen Ehsani, Dr. Ashkenaz Oraee, Dr. Babak Abdi, Dr. Vahid Behnamgol, Dr. Seyed Mahdi Hakimi,
Volume 10, Issue 4 (3-2022)
Abstract
In this paper, a control system based on adaptive sliding mode theory is designed to track active and reactive powers in a wind turbine with a brushless doubly-fed induction generator. The dynamics of this type of turbine are nonlinear and include parametric uncertainties and perturbations such as wind speed changes. Therefore, to control this nonlinear and uncertain system, sliding model theory has been used. Due to the unknown of the bound of various uncertainties in this system, the adaptive type of sliding mode is used. In this method, the controller gain is considered as a variable with time and is designed to converge to the uncertainties upper bound. The proposed designed controller in a complete simulation in MATLAB software, on the model of a brushless doubly-fed wind turbine, is evaluated and the good performance of this proposed method in comparison with standard sliding model methods and the classical PID controller is shown.
Mis Mina Aliakbar Semnani, Dr. Ahmad Reza Vali, Dr. Seyed Mehdi Hakimi, Dr. Vahid Behnamgol,
Volume 11, Issue 1 (5-2022)
Abstract
The human heart has three main parts with oscillating behavior. If the performance of any of these three parts is disturbed, diseases such as bradycardia will occur. To cure the disease, an external electrical signal must be applied to the heart. This external signal can be calculate by a closed loop control system. In this paper, a nonlinear control system has been designed to track the normal heart rate signal in people with bradycardia disease. Due to the nonlinear behavior of the heart and its multivariate dynamics, the controller is designed using the nonlinear MIMO feedback linearization method. Also the unmeasurable and uncertain functions are estimated using an extended state observer. In computer simulation, the performance of the designed control system is investigated.
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