This paper focuses on resolving the trajectory tracking problem of two wheeled mobile robot. We begin by presenting the kinematic model of the robot which is the base of the control law then we present a PI controller and a model predictive controller to solve the problem of trajectory tracking. We performed a comparison between the performances of the classical PI controller and the predictive...

This paper displays a new access for determining the powerful firing signals for suppression of oscillations by using Optimized PI Based Interline Power Flow Controller [IPFC] through Nonlinear Control Design Block set. The IPFC performance is tested with Proportional Integral Gain [PI] controllers in comparison with Power Oscillation Damping controller [POD] on Modified Phllips-Heffron Model o...

Dr. Mohammed Yousif Hassan* Received on:28/6/2009 Accepted on:3/12/2009 Abstract Pneumatic circuits are widely used in industrial automation, such as drilling, sawing, squeezing, gripping, and spraying. Furthermore, they are used in motion control of materials and parts handling, packing machines, machine tools, foodprocessing industry and in robotics. In this paper, a Neural Network based Fuzz...

A novel architecture for integrating neural networks with industrial controllers is proposed, for use in predictive control of complex process systems. In the proposed method, a conventional controller, e.g., a proportional-integral (PI) controller, is used to control the process. In addition, a recurrent neural network is used in the form of a multistep-ahead predictor (MSP) to model the proce...

This paper presents a hybrid wavelet-fuzzy based multiresolution (MR) controller for robust speed control of induction motor. The discrete wavelet transform (DWT) is used to decompose the error between the actual speed and command speed of the induction motor drive in to different frequency components. A self-tuning fuzzy logic is used for online tuning of the controller parameters. The propose...

This paper presents the detailed design of Type-2 Fuzzy Logic PI controller to control the speed of a DC servomotor. The controller is explored extensively in terms of number, type of membership functions and judged in 3 different cases; which are unity step response, load disturbance and noise disturbance. The performance of the controller is measured in terms of parameters such as rise time, ...

In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...