This study investigates the development of a Fuzzy Logic Controller (FLC) for tracking sinusoidal wave trajectory and suppressing vibration Two Link Flexible Manipulator (TLFM). The TLFM was modeled using Lagrange's formalism Assumed Mode Method (AMM). A three-part apparatus consisting mathematical model, real-world TLFM, control software designed implemented. FLC applied to both simulated TLFM...

Declaration I hereby declare that the work contained within this report, except where otherwise stated, is entirely my own and has not been previously submitted in whole, or in part, to any other educational institution. Acknowledgements I would like to express my sincere gratitude to the following; University) for her advice, guidance and support throughout the entire duration of this project....

The photovoltaic generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination level and temperature. Using maximum power point tracker(MPPT) with the intermediate converter can increase the system efficiency by matching the PV systems to the load. This paper presents a maximum power point tracker based on fuzzy logic and a control scheme for a single...

This paper describes a genetic-fuzzy system in which a genetic algorithm (GA) is used to improve the performance of a fuzzy logic controller (FLC). The proposed algorithm is tested on a number of gait-generation problems of a hexapod for crossing a ditch while moving on at terrain along a straight line path with minimum number of legs on the ground and with maximum average kinematic margin of t...

This paper experimentally investigates the control of an industry based shell and tube heat exchanger. The hot fluid outlet temperature in the shell side is maintained by manipulating the cold fluid temperature in the tube side. The Fuzzy Logic based Controller (FLC) has been implemented in a MATLAB environment using cost effective ADAM’s module and compared with the Proportional Integral (PI) ...

While many widely accepted methods and techniques exist for validation and verification of traditional controllers, at this time no solutions have been accepted for Fuzzy Logic Controllers (FLCs). Due to the highly nonlinear nature of such systems, and the fact that developing a valid FLC does not require a mathematical model of the system, it is quite difficult to use conventional techniques t...

In this work the auto-tuning procedure proposed by Astrom and Hagglund is extended and developed for tuning the scaling factors of a modified hybrid PID type fuzzy logic controller (MHPID-FLC). This new procedure is based on two steps. First, mathematical expressions to link the scaling factors of the MHPID-FLC with the proportional, integral and derivative actions of its traditional counterpar...

A new methodology is presented to improve the design and tuning of a fuzzy logic controller (FLC) using variable structure control (VSC) theory. A VSC-type rule base is constructed and the fundamentals of FLC explored quantitatively by VSC theory. A very concise mathematical expression for the FLC is presented, in which the Lyapunov stability criterion can be applied to guide the design and tun...

Achieving high performance controller for multi-joints actuators on rehabilitation lower limb exoskeleton (RLLE) is difficult due to its non-linear characteristics. The with less tracking error a key challenge in their controller. Therefore, this paper presents new particle swarm optimization based initialization of model reference adaptive fuzzy logic proportional derivative (Adaptive-FLC-PD),...

This paper reviews the literature on control of 2-DOF robot manipulator using fuzzy logic control (FLC). Different schemes of FLC laws are considered here. These are PID control, sliding mode control (SMC), and adaptive control. Importance of each control techniques with its advantages and disadvantages is discussed here. It is highlighted that the robustness of the system has improved consider...