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This study aims to design an adaptive output recurrent cerebellar model articulation controller (AORCMAC), which is embedded into the direct torque control (DTC) system of an induction motor as the speed controller. Similar to the conventional cerebellar model articulation controller (CMAC), the designed AORCMAC also has the advantages of rapid learning, simple architecture, online training, and nonlinear...
This paper investigates the type-2 T-S fuzzy multiple feedback-loop guaranteed cost controller design for uncertain singular systems with transmission and state delays. Based on the type-2 T-S fuzzy theory, this work constructs a mathematical model for a class of nonlinear uncertain singular time-delay systems. Using the parallel distributed compensation concept with Lyapunov theory and linear matrix...
This paper presents an adaptive sliding self-organizing fuzzy controller (ASSOFC) designed using fuzzy theory and a self-organizing algorithm. Composed of a conventional fuzzy controller (FC) and self-organizing algorithm, the ASSOFC adopts the sliding surface signal as an input, uses the algorithm to adjust the central position of the output consequent membership function of the FC, and, by fuzzy...
The robust H-infinity controller design is investigated in this paper for a class of nonlinear singular systems with state and transmission delays. The proposed controller is configured in multiple feedback loops. Based on the interval type-2 T-S fuzzy modelling and parallel distributed compensation techniques, a fuzzy multiple feedback-loop controller with memoryless state and delayed states is proposed...
This study proposed an adaptive recurrent cerebellar model articulation controller (ARCMAC) which consisted of a recurrent Gaussian cerebellar model articulation controller (RCMAC) and a compensation controller. The ARCMAC was used as the speed controller for a switched reluctance motor (SRM), and the contained compensation controller was used to offset the error between the RCMAC and a theoretically...
In this study, the sliding mode controller (SMC) and the Takagi-Sugeno-Kang (TSK) fuzzy system were employed to design the proposed sliding mode controller with adaptive fuzzy compensation (AFSC). This design can improve the speed control performance of switched reluctance motor drive systems. Lyapunov function was derived to ensure the stability of the controller in the motor drive systems. To verify...
WSN localization methods play important roles in various applications, because many applications involve the need of localization. To propose an accurate localization method, this paper focuses on calculating the number of hops and utilizes the multidimensional scaling analysis to estimate the coordinates of unknown nodes. Then, the method of multi-power transmission is used to refine the coordinates...
This study proposed a fuzzy excitation controller to reduce noise and torque ripples for switched reluctance motors. The design of the controller is simple and can generate appropriate turn-on and turn-off angles according to the speed of torque error in order to improve the torque response. At the motor speed of 300 rpm with one Nm load, the experimental results showed that the implantation of a...
This paper applies the Taguchi method to filter out the number of input neurons and increases the training efficiency of the dynamic structural neural networks. In order to avoid that omitting the harmonics may affect the fault diagnosis result, this work establishes an index for the fault identification which is based on the features of the first and second harmonics. Together with the identification...
By referencing the adaptive stator flux estimator (ASFE) framework in the model reference adaptive system (MRAS), this study designed an adaptive rotor speed estimator and a stator resistance estimator, and applied the Takagi-Sugeno-Kang (TSK) fuzzy system and projection algorithms to the estimators to establish an induction motor direct torque controlled system without a speed sensor and possessing...
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