Inverse Dynamics-Based Fuzzy Logic Control of a Projectile Smart Fin

2005 ◽  
Author(s):  
Mohamed B. Trabia ◽  
Surya Kiran Parimi ◽  
Woosoon Yim
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Inverse Dynamics ◽  
Operating Conditions ◽  
Attractive Alternative ◽  
Fuzzy Logic Controllers ◽  
Logic Control ◽  
Novel Approach ◽  
External Moment ◽  
Element Approach

A smart fin for a subsonic projectile should be able to produce maneuvering force and moment that can control its rotation during flight. Piezoelectric actuator is an attractive alternative to usual hydraulic actuators due to its simplicity. The cantilever-shaped actuator can also be fully enclosed within the hollow fin. It has an end fixed to the rotation axle of the fin while the other end is pinned at the tip of the fin. A dynamic model of the system, including external moment due to aerodynamic effects, is obtained using the finite element approach. This paper presents a novel approach for automatically creating fuzzy logic controllers for the fin. This approach uses the inverse dynamics of the smart fin system to determine the ranges of the variables of the controllers. Simulation results show that the proposed controller can successfully drive smart fin under various operating conditions.

Control of a Projectile Smart Fin Using an Inverse Dynamics-Based Fuzzy Logic Controller

2007 ◽  
Author(s):  
Mohamed B. Trabia ◽  
Woosoon Yim ◽  
Paul Weinacht ◽  
Venkat Mudupu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Inverse Dynamics ◽  
Operating Conditions ◽  
Attractive Alternative ◽  
Fuzzy Logic Controllers ◽  
Novel Approach ◽  
External Moment ◽  
Element Approach ◽  
Simulation Results

The objective of this paper is to explore a method for the design of fuzzy logic controller for a smart fin used to control the pitch and yaw attitudes of a subsonic projectile during flight. Piezoelectric actuators are an attractive alternative to hydraulic actuators commonly used in this application due to their simplicity. The proposed cantilever-shaped actuator can be fully enclosed within the hollow fin with one end fixed to the rotation axle of the fin while the other end is pinned at the trailing edge of the fin. The paper includes a dynamic model of the system based on the finite element approach. The model includes external moment due to aerodynamic effects. This paper presents a novel approach for automatically creating fuzzy logic controllers for the fin. This approach uses the inverse dynamics of the smart fin system to determine the ranges of the variables of the controllers. Simulation results show that the proposed controller can successfully drive smart fin under various operating conditions.

A Single Phase Anti-Swing Fuzzy Logic Controller for an Overhead Crane With Hoisting

2006 ◽  
Author(s):  
Mohamed B. Trabia ◽  
Jamil M. Renno ◽  
Kamal A. F. Moustafa
Keyword(s):  
Fuzzy Logic ◽  
Single Phase ◽  
Fuzzy Logic Controller ◽  
Inverse Dynamics ◽  
Operating Conditions ◽  
Overhead Crane ◽  
Fuzzy Logic Controllers ◽  
Overhead Cranes ◽  
Novel Approach ◽  
Logic Controllers

This paper presents a novel approach for automatically creating anti-swing fuzzy logic controllers for overhead cranes with hoisting. This approach uses the inverse dynamics of the overhead crane to determine the ranges of the variables of the controllers. The control action is distributed among three fuzzy logic controllers (FLCs): travel controller, hoist controller, and anti-swing controller. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.

Anti-Swing Adaptive Fuzzy Controller for an Overhead Crane With Hoisting

2004 ◽  
Author(s):  
Jamil M. Renno ◽  
Mohamed B. Trabia ◽  
Kamal A. F. Moustafa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Operating Conditions ◽  
Overhead Crane ◽  
Fuzzy Logic Controllers ◽  
Adaptive Fuzzy Controller ◽  
Overhead Cranes ◽  
Logic Control ◽  
Novel Method

This paper presents a novel method for adaptive anti-swing fuzzy logic control for overhead cranes with hoisting. The control action is distributed between three fuzzy logic controllers (FLC’s): trolley controller, hoist controller, and anti-swing controller. A method for varying the ranges of the variables of the three controllers as a function of the crane’s parameters and/or motion variables is presented. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.

Comparison of Two Distributed Fuzzy Logic Controllers for Two-Link Rigid-Flexible Manipulator

2003 ◽  
Author(s):  
Linda Z. Shi ◽  
Mohamed B. Trabia
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Vertical Plane ◽  
Flexible Manipulator ◽  
Computationally Efficient ◽  
Fuzzy Logic Controllers ◽  
Distributed Structure ◽  
Logic Control ◽  
Angular Velocities ◽  
Logic Controllers

Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers. While experts can easily design fuzzy logic controllers (FLC’s) for many applications, some systems such as multi-link flexible manipulators, which have many variables and complex behavior, offer challenges to fuzzy logic control. An earlier work, [1], presented two distributed FLC’s for a single-link flexible manipulator. This paper extends that work to the area of two-link rigid-flexible manipulator that moves in a vertical plane where the gravity field is active. The first distributed structure, which is based on observing the performance of the manipulator, uses three PD-like FLC’s. The first two FLC’s control joint angles and joint angular velocities while the third controls the tip vibration. The second distributed structure is based on evaluating the importance degrees of the system output variables of the system by randomly varying its inputs. Variables with the same rank of the importance degree are grouped together and variables with less importance degrees may be deleted to simplify the design of the controller. The fuzzy rules of FLC’s in the two structures are selected to mimic the performance of comparable linear controllers. The parameters in both structures are tuned using nonlinear programming to obtain better performance. The two distributed structures are simulated and compared.

GA-Based Fuzzy Logic Control for a Smart Fin of a Projectile

2007 ◽  
Author(s):  
Venkat Mudupu ◽  
Mohamed B. Trabia ◽  
Woosoon Yim ◽  
Paul Weinacht
Keyword(s):  
Fuzzy Logic ◽  
System Identification ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Operating Conditions ◽  
Piezoelectric Bimorph ◽  
Logic Control ◽  
Identification Technique ◽  
Simulation Results ◽  
Design And Testing

This paper presents the design and testing of a smart fin for a subsonic projectile. The smart fin is activated using a piezoelectric bimorph with a substrate that is completely enclosed within the fin. A linear model of the actuator and fin system is created using the frequency response identification technique within MATLAB System Identification Toolbox. A procedure for designing a GA-based fuzzy logic controller for the fin is presented. Experimental and simulation results show that the proposed controller achieved the fin angle control under different operating conditions.

Fuzzy Logic Control of Projectile Fin Angle Using Piezoelectric Beam Actuator

2004 ◽  
Author(s):  
Mohamed B. Trabia ◽  
Woosoon Yim ◽  
Surya Kiran Parimi
Keyword(s):  
Fuzzy Logic ◽  
Piezoelectric Actuator ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Rotation Angle ◽  
Hybrid Genetic Algorithm ◽  
Fuzzy Variables ◽  
Logic Control ◽  
Piezoelectric Beam ◽  
Element Approach

Fin of a subsonic projectile produce maneuvering force and moment that control the rotation angle of a projectile fin during flight. The objective of this paper is to study the feasibility of using piezoelectric actuator and fuzzy logic control to create a smart fin. The fin is rotated by a beam-based piezoelectric actuator, which has an end fixed to the rotation axle of the fine while the other end is pinned at the tip of the fin. A model of the dynamics of the system is obtained using the finite element approach. A fuzzy logic controller for the fin is designed. The membership functions of the fuzzy variables for this controller are determined using a hybrid genetic algorithm. Simulation results show that the proposed controller worked satisfactorily.

Design and Validation of Fuzzy Logic Control for a Smart Projectile Fin

2007 ◽  
Author(s):  
Venkat Mudupu ◽  
Mohamed B. Trabia ◽  
Woosoon Yim ◽  
Paul Weinacht
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Experimental Testing ◽  
Operating Conditions ◽  
Chirp Signal ◽  
Piezoelectric Bimorph ◽  
Subsonic Wind Tunnel ◽  
Logic Control ◽  
The University

This paper deals with the design and validation of the fuzzy logic control for a smart fin of a projectile. The fin is actuated by a cantilevered piezoelectric bimorph that is completely enclosed within the fin. A linear model of the actuator and fin is identified experimentally by exciting the system using a chirp signal. A procedure for designing a GA-based fuzzy logic controller for the fin is presented. The controller is verified using simulation and experimental testing that is conducted in the subsonic wind tunnel at the University of Nevada, Las Vegas (UNLV). Results illustrate that the proposed controller can track the desired fin angle control under various operating conditions.

scholarly journals A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

2013 ◽  
Vol 10 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Ismail Bendaas ◽  
Farid Naceri
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Induction Motor ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Torque Ripple ◽  
Operating Conditions ◽  
New Method ◽  
Mode Control ◽  
Logic Control

This paper presents new method toward the design of hybrid control with sliding-mode (SMC) plus fuzzy logic control (FLC) for induction motors. As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Sliding mode control is robust with respect to both induction motor parameter variations and external disturbances. By embedding a fuzzy logic control into the sliding mode control, the chattering (torque-ripple) problem with varying parameters, which are the main disadvantage in sliding-mode control, can be suppressed, Simulation results of the proposed control theme present good dynamic and steady-state performances as compared to the classical SMC from aspects for torque-ripple minimization, the quick dynamic torque response and robustness to disturbance and variation of parameters.

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