an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

Abstruct This project deals with the speed control of a DC servo motor. The speed is controlled by a digital PI controller. The difference equation of the PI controller is obtained from the transfer function and the digital controller is implemented by the graphical Programming method. In speed control application of servomotor proportional controller can reduce the steady state error if the lo...

This paper present the use of Artificial Intelligent and conventional PI controller to study the load frequency control of interconnected power system. In the proposed scheme, control methodology developed using Artificial Neural Network (ANN), Fuzzy Logic controller (FLC) and PI controller for interconnected hydro-thermal power system. The control strategies guarantees that the steady state er...

The major issue for the wheeled mobile robot is the low level controller gains tuning up especially in the robot competition. The floor surface can be damaged by the robot wheels during the competition, therefore the surface coefficient can be changed over time. PI gains have to be tuned before every match along the competition. In this research, the torque controller is defined and implemented...

This paper proposes a novel fuzzy switched controller (FSC) integrated in direct current control (DCC) algorithm for single phase active power filter (SPAPF). The controller under study consists of conventional PI controller, fractional order PI controller (FO-PI) and fuzzy decision maker (FDM) that switches between them using reduced fuzzy logic control. The proposed controller offers short re...

This paper presents an intelligent speed control system based on self tuning fuzzy PID controller for a brushless DC motor.PWM based motor current control is implemented with the help of three hall sensors placed around the motor shaft and a three phase inverter model is implemented for motor commutation .Dynamic performance of electromagnetic torque developed are analysed for this model. Tradi...

in this paper, the driver with antiwindup and fuzzy high-performance and robust pi controller has been suggested for permanent magnet synchronous motor (pmsm). this controller is suggested for the design of the robust driver for three phase pmsm and the cost reduction of its control system. it’s useful for the industrial application and automation and ultimately speed control and the improvemen...