This study describes an adaptive sliding mode control (ASMC) for the control of switched reluctance motor (SRM). The main objective is to minimize torque ripples with controller effort smoothness while the system is under perturbation by structured uncertainties, unknown parameters, and external disturbances. The control algorithm employs an adaptive approach to remove the need for prior knowledge within the bound of perturbations. This is suitable for tackling the chattering problem in the sliding motion of ASMC. In order to achieve control effort smoothness and more effective elimination of chattering, the algorithm then incorporates proper modifications in order to build a chattering-free robust adaptive sliding mode control (RASMC) usin...
Switched Reluctance Motors have expanded their field of application in recent years, from a control ...
This thesis presents a new technique for the control of switched reluctance motors (SRM). Although, ...
Abstract: In this paper the speed control of a switched reluctance motor using fuzzy adaptive design...
This study describes the direct torque control-DTC approach, based on the Sliding Mode Control (SMC)...
Torque ripple minimization of switched reluctance motor drives is a major subject based on these dri...
The industrial application of the switched reluctance motor (SRM) is limited by its high torque ripp...
In recent years, there has been a significant focus on synchronous reluctance motors (SynRM) owing t...
A nonsingular terminal sliding mode controller (NTSMC) based on a direct torque control is presented...
This article presents a robust adaptive neural network controller for switched reluctance motor (SRM...
This paper presents the design and implementation of a super-twisting algorithm second-order sliding...
AbstractThe simplicity, ruggedness, and low cost of a switched reluctance motor (SRM) makes it a via...
The inherent problem of chattering in traditional sliding mode control is harmful for practical appl...
The paper proposes a model reference adaptive control method for SRM drives. The main goal of the dr...
grantor: University of TorontoThe objective of this thesis is to design a simple nonlinear...
This thesis presents a novel scheme for speed regulation/tracking of Switched Reluctance (SR) motors...
Switched Reluctance Motors have expanded their field of application in recent years, from a control ...
This thesis presents a new technique for the control of switched reluctance motors (SRM). Although, ...
Abstract: In this paper the speed control of a switched reluctance motor using fuzzy adaptive design...
This study describes the direct torque control-DTC approach, based on the Sliding Mode Control (SMC)...
Torque ripple minimization of switched reluctance motor drives is a major subject based on these dri...
The industrial application of the switched reluctance motor (SRM) is limited by its high torque ripp...
In recent years, there has been a significant focus on synchronous reluctance motors (SynRM) owing t...
A nonsingular terminal sliding mode controller (NTSMC) based on a direct torque control is presented...
This article presents a robust adaptive neural network controller for switched reluctance motor (SRM...
This paper presents the design and implementation of a super-twisting algorithm second-order sliding...
AbstractThe simplicity, ruggedness, and low cost of a switched reluctance motor (SRM) makes it a via...
The inherent problem of chattering in traditional sliding mode control is harmful for practical appl...
The paper proposes a model reference adaptive control method for SRM drives. The main goal of the dr...
grantor: University of TorontoThe objective of this thesis is to design a simple nonlinear...
This thesis presents a novel scheme for speed regulation/tracking of Switched Reluctance (SR) motors...
Switched Reluctance Motors have expanded their field of application in recent years, from a control ...
This thesis presents a new technique for the control of switched reluctance motors (SRM). Although, ...
Abstract: In this paper the speed control of a switched reluctance motor using fuzzy adaptive design...