Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the output scaling factor automatically thereby contributing to significant improvement in performance. Second controller (STPD+I_9) is the simplif...

This paper deals with the modelling, simulation-based controller design and path planning of a four rotor helicopter known as a quadrotor. All the drags, aerodynamic, coriolis and gyroscopic effect are neglected. A Newton-Euler formulation is used to derive the mathematical model. A smart self-tuning fuzzy PID controller based on an EKF algorithm is proposed for the attitude and position contro...

International Journal of Control Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713393989 Dahlin minimum variance self-tuning controller Lamya A. Al-Chalabi a; Fouad F. Khalil b a Department of Control and Systems Engineering, University of Technology, Baghdad, Iraq b Department of Electrical Engineering, Uni...

During the past several years fuzzy control has emerged as one of the most active and fruitful areas of research in the field of control engineering especially, in the realm of industrial processes. Fuzzy control, based on fuzzy logic is a logical system which incorporates human thinking rather than traditional analytical methods. Therefore, this paper aims to explore the utility of this contro...

This paper presents a self-tuning optimal PI (Proportional-Integral) rate controller for end-to-end congestion in the IP-based Internet. We employ LQR (Linear Quadratic Regulator) approach from modern control theory in the optimal controller design that would allow the user to achieve good transient performance of IP networks by selecting proper positive definite matrices Q and R. Self-tuning P...

Paper deals with implementation of self-tuning digital PID controller on general-purpose 8-bit Freescale 68HC908GB60 microcontroller which is a part of development board M68EVB908GB60 by Axiom Manufacturing. The process is identified using modified recursive least squares method with adaptive directional forgetting resulting in δ-model representation of controlled plant. This representation was...

The proposed paper deals with modeling and control of continuous-time processes using artificial neural network with orthogonal activation functions, applicable for real-time control. A genetic algorithm has been used to find the optimal neural structure for on-line identification with the best learning algorithm. A moving prediction horizon in the control algorithm found by genetic algorithm h...

Most industrial robots are controlled as position servo-based manipulators. This has made most advanced force control algorithms unpractical and difficult to implement. In this paper a position based fuzzy PID force controller is proposed to regulate contact force of a six degree of freedom industrial robot where the environment contact stiffness varies considerably. Based on a relationship bet...