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Based on the Lyapunov stability theorem, a model reference adaptive sliding mode control scheme is proposed in this paper for a class of multi-input multi-output (MIMO) dynamic systems with mismatched model uncertainties and external disturbances in order to solve robust tracking problems. In this method adaptive mechanisms are employed both in sliding surface function and control effort so that once...
This paper presents a sliding mode control (SMC) design based on radial basis function neural network (RBFNN) to robust stabilization and disturbance rejection of the synchronous reluctance motor (SynRM) drive system. This method utilizes Lyapunov function and the steep descent rule to guarantee the convergence of the SynRM system asymptotically. Finally, we employ the experiments to validate the...
This paper presents a fuzzy sliding mode speed control design procedure for robust stabilization and disturbance rejection of the synchronous reluctance motor (SynRM) drive system. In general, the conventional sliding mode control design is assumed that the upper boundary of parameter variations and external disturbances is known and the sign function is used. Therefore, it causes high frequency chattering...
This paper presents a novel fuzzy sliding mode speed control design procedure for robust stabilization and disturbance rejection of the current sensorless synchronous reluctance motor (SynRM) drive system. The novel fuzzy sliding mode control reduces the high frequency chattering and high gain phenomenon drawbacks of conventional sliding mode control which use the sign function and assumed a larger...
This paper presents the a adaptive sliding mode speed control design procedure for robust stabilization and disturbance rejection of the current sensorless synchronous reluctance motor (SynRM) drive system. In this paper, we proposed a novel adaptive sliding mode control to avoid the conventional sliding mode control, which causes high frequency chattering and high gain phenomenon drawbacks due to...
This paper presents a Lyapunov second method for synchronous reluctance motor (SynRM) drive system. We use the speed and current errors to form a Lyapunov function and the controller is designed by the method of the lyapunov and adaptive theory. The controller approach compensates the uncertainties which occurs in the control system. However, the uncertainty is difficult to obtain in practical applications...
A synchronous reluctance motor (SynRM) driven by a Lyapunov second method is presented in this paper. We derive a control law that, control the speed and current of SynRM. The speed and current errors are used to form, a Lyapunov function. The controller approach compensates the uncertainties which occur in the control system. However, the uncertainty is difficult to obtain in practical applications...
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