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Parallel evolutionary optimized pitching motion control for F-16 aircraft

Kang-Hee Lee, Jong-Hwan Kim
The 2003 Congress on Evolutionary Computation, 2003. CEC '03.  
The nonlinear pitching motion model of F-16 is linearized in the range of the flight envelope of velocity vs. altitude.  ...  A controller to stabilize F-16 aircraft flying with a steady state around the altitude of 25,OOOft is described.  ...  Introduction F-I6 aircraft flying at a very high altitude has nonlinear pitching motion, which is statically unstable.  ... 
doi:10.1109/cec.2003.1299805 fatcat:66gx2xvk2bgtnhx3n5mtuwdoka

Role of Eigenvectors in Aircraft Dynamics Optimization

Giovanni Mengali
2003 Journal of Guidance Control and Dynamics  
F., “Multi- discipiinary Hybrid Constrained GA Optimization Evolutionary Algorithms in Engineering and Computer Science,” Evolutionary Algorithms in Engi- neering and Computer Science, edited by K.  ...  Suppose an optimal aircraft dynamics model has been found according to the guidelines of the pitch pointing control ex- ample. It is natural to consider the optimized model as the reference one.  ... 
doi:10.2514/2.5051 fatcat:ekh4bzxecjb67gf65j2iwfa7ky

Development and Flight Testing of a Parameter Identification Algorithm for Reconfigurable Control

David G. Ward, Jeffrey F. Monaco, Marc Bodson
1998 Journal of Guidance Control and Dynamics  
Data for the F-16, provided by researchers at U.S.  ...  Flight-Test Results VISTA/F-16 Implementation The VISTA/F-16 aircraft is shown in Fig. 5. The aircraft con- tains a variable stability system (VSS) implemented on three Rolm Hawk/32 computers.  ... 
doi:10.2514/2.4329 fatcat:2cavobehdjauzhkk3v7duhe4ge

Mars Sample Return: Testing the Last Meter of Rendezvous and Sample Capture

Richard P. Kornfeld, Joe C. Parrish, Steve Sell
2007 Journal of Spacecraft and Rockets  
Algorithm for Multiobjective Optimization,” Evolutionary Methods for Design, Optimization, and Control, International Center for Numerical Methods in Engineering, Barcelona, Spain, 2002, pp. 95-100, Seungwon  ...  B “Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms,” /EEE Transactions on Evolutionary Computation, Vol No. 2, Apr. 2003, pp. 144-173 Anon., “LAM/MPI Parallel Computing,”  ... 
doi:10.2514/1.26098 fatcat:cf7dbbfqkzc2dlocvm5gaweboe

Kinematic Optimization of a Flapping Motion for Maneuverability and Sustainability Flights

Jung-Sun Choi, Jae-Woong Kim, Gyung-Jin Park, Do-Hyung Lee
2013 Journal of Aircraft  
F., “Optimization of Flapping Motion Parameters for Two Airfoils in a Biplane,” Journal of Aircraft, Vol. 46, No. 2, 2009, pp. 583-592. doi: 10.25 14/1.38796 Kurtulus, D.  ...  In 2011, Choi et al. performed kinematic optimization for an efficient flight, and its results were applied to the wing structure for dynamic topology optimization [16].  ... 
doi:10.2514/1.c031834 fatcat:kiai3t4ocbachglxnbbgjtgp3u

Tilting Path Optimization of Tilt Quad Rotor in Conversion Process Based on Ant Colony Optimization Algorithm

Zhichao Lyu, Zhigang Wang, Dengyan Duan, Lili Lin, Jianbo Li, Yongwen Yang, Yonghong Chen, Yibo Li
2020 IEEE Access  
Oosedo [18] present the attitude transition flight control system for pitch angles ranging 0 • to 90 • since flight condition with a 90 • pitch angle significantly differs from that in a conventional  ...  Multi-directional and Parallel Ant Colony Optimization is proposed. Ant agents are divided into several groups and start at different positions in parallel.  ... 
doi:10.1109/access.2020.3012672 fatcat:eumifraw5bdvveyzk7sy2zbywi

A Bio-Inspired Stereo Vision System for Guidance of Autonomous Aircraft [chapter]

Richard J. D. Moore
2011 Advances in Theory and Applications of Stereo Vision  
(Garratt & Chahl, 2008) also control altitude via optical flow and additionally correct for the pitching motions of the aircraft using an inertial measurement unit (IMU), but do not take the attitude  ...  Low level control feedback for the roll rate and pitch rate is provided by an onboard IMU.  ...  :// © 2011 The Author(s).  ... 
doi:10.5772/13184 fatcat:zdnjvdl6dnaqnl7dru6oxrq5ky

Takagi-Sugeno Fuzzy Model-Based Flight Control and Failure Stabilization

Evan J. Butler, Hua O. Wang, John J. Burken
2011 Journal of Guidance Control and Dynamics  
J., “Adaptive Control Using Neural Network Augmentation for a Modified F-15 Aircraft,’ Proceedings of the 14th Mediterranean Conference on Control and Automation, Ancona, IEEE, New York, June 2006, pp.  ...  Toronto, 2-5 August 2010; received 16 November 2010; revision received 14 April 2011; accepted for publication 7 April 2011.  ... 
doi:10.2514/1.52509 fatcat:kaoqjtkw4jarjbvpcu5oz7ve5q

A Survey of Recent Developments in Rotorcraft Design Optimization

Ranjan Ganguli
2004 Journal of Aircraft  
F., “Two-Point Ex- ponential Approximation Method for Structural Optimization,” Structural Optimization, Vol. 2, 1990, pp. 117-124. '32 Anusonti-Inthra, P., and Gandhi, F., “Optimal Control of Helicopter  ...  8° Evolutionary programming, 1.635 0.487 by Boeing!*” Parallel direct search, 1.289 0.501 by Boeing, IBM, and Rice University !86~!  ... 
doi:10.2514/1.58 fatcat:ktddjek52feydnv3ehazievrpe

Evolutionary Algorithms for Multi-Objective Optimization of Drone Controller Parameters [article]

Azin Shamshirgaran, Hamed Javidi, Dan Simon
2021 arXiv   pre-print
In this paper, we introduce the use of two evolutionary algorithms, biogeography-based optimization~(BBO) and particle swarm optimization (PSO), for multi-objective optimization (MOO) to tune the parameters  ...  However, the controller parameters need to be tuned and optimized.  ...  In [9] , GA was applied for tuning the PID controller parameters for pitch control of an aircraft. In [10] , [11] , an NN was used to tune the PID controller parameters for ship roll reduction.  ... 
arXiv:2105.08650v1 fatcat:62xazgababawnnrvcydzvmxmo4

Tuning of PID Controllers for Quadcopter System using Hybrid Memory based Gravitational Search Algorithm – Particle Swarm Optimization

Nizar Hadi, Ahmed Ramz
2017 International Journal of Computer Applications  
The gains of the controllers will be tuned using optimization techniques to improve the system's dynamic response.  ...  Quadrotors are coming up as an attractive platform for unmanned aerial vehicle (UAV) research, due to the simplicity of their structure and maintenance, their ability to hover, and their vertical take-off  ...  It is co-evolutionary because the algorithms will be used in parallel. It is heterogeneous because there are two different algorithms that are involved to produce results [16] .  ... 
doi:10.5120/ijca2017915125 fatcat:fmhtatulnnfujircmwxcf5i2tq

Evolutionary Multicriteria Design Optimization of Integrally Stiffened Airframe Structures

Lars U. Hansen, Sascha M. Häusler, Peter Horst
2008 Journal of Aircraft  
A two-step, multilevel optimization approach has been shown by [8] for unconventional aircraft structures by using an evolutionary algorithm and a deterministic optimization method to find suitable designs  ...  Kaletta’s thesis [4] presents a more detailed investigation of performance improvements ‘of evolutionary algorithms for optimization of aircraft structures, although without the need for further consideration  ... 
doi:10.2514/1.30884 fatcat:i3idqqq6dvgihmksbzcuznlrcq

Optimization of PID Controller to Stabilize Quadcopter Movements Using Meta-Heuristic Search Algorithms

Alaa Sheta, Malik Braik, Dheeraj Reddy Maddi, Ahmed Mahdy, Sultan Aljahdali, Hamza Turabieh
2021 Applied Sciences  
Traditional methods, such as Ziegler–Nichols (ZN), for tuning quadcopter PID do not provide optimal control and might leave the system with potential instability and cause significant damage.  ...  Therefore, developing a method for the tuning of quadcopter PID parameters may save effort and time, and better control performance can be realized.  ...  evolutionary processes to find optimal or near-optimal solutions.  ... 
doi:10.3390/app11146492 fatcat:fupwuzrwvvebfod74ara7so7yu

Flight Control System Design Optimisation via Genetic Programming [chapter]

Anna Bourmistrova, Sergey Khantsis
2009 Aerial Vehicles  
The use of artificial neural networks for control problems receives an increased attention over the last two decades.  ...  Often they are combined with each other as well as with more traditional methods; for example, fuzzy logic controller parameters being optimised using genetic algorithms or a neural network driving a traditional  ...  The just evolved longitudinal control laws (16) Fitness is calculated as follows: () () () () () () r f r c z e a a c e r a ar C C n C C C F F F δ δ δ δ γ 2000 10 200000 2000 50000 + + + + + = + = K  ... 
doi:10.5772/6470 fatcat:ygnmyoaqtzeftagds522b4xp3m

Sonic boom mitigation via shape optimization using an adjoint method and application to a supersonic fighter aircraft

Kurt Maute, Charbel Farhat, Brian Argrow, Melike Nikbay
2008 European Journal of Computational Mechanics  
This paper describes a computational method for the analysis and mitigation via shape optimization of the sonic boom associated with supersonic flight.  ...  Two venues are considered for computing the ground signature. The performance of both approaches is evaluated using flight test data of two different configurations of an F5 fighter aircraft.  ...  variables to the motion of the control nodes.  ... 
doi:10.13052/remn.17.217-243 fatcat:dhqio23rv5gixbu5a2jxrl7ez4
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