Journal ArticleDOI
Lévy flight based pigeon-inspired optimization for control parameters optimization in automatic carrier landing system
Rui Dou,Haibin Duan +1 more
TLDR
A novel control parameter design method is presented for the automatic carrier landing system (ACLS) for aircraft to obtain the better dynamic response of the longitude command and with the help of the optimization algorithm, ACLS can have better performance in dynamic responses.About:
This article is published in Aerospace Science and Technology.The article was published on 2017-02-01. It has received 52 citations till now. The article focuses on the topics: Aircraft flight control system & Optimization problem.read more
Citations
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Journal ArticleDOI
Automatic carrier landing system based on active disturbance rejection control with a novel parameters optimizer
TL;DR: In this article, an active disturbance rejection control (ADRC) scheme was proposed for automatic carrier landing system (ACLS) in final approach to track desired touchdown point (DTP) altitude in the presence of carrier air wake turbulence and deck motion, based on the estimation and compensation of internal dynamics and external disturbances by extended state observer (ESO), outer-loop altitude controller and inner-loop attitude controllers.
Journal ArticleDOI
Mobile Robot ADRC With an Automatic Parameter Tuning Mechanism via Modified Pigeon-Inspired Optimization
TL;DR: An enhanced active disturbance rejection control method for the attitude deformation system of a self-developed mobile robot in conjunction with evolutionary game theory-based pigeon-inspired optimization (EGPIO).
Journal ArticleDOI
Discrete pigeon-inspired optimization algorithm with Metropolis acceptance criterion for large-scale traveling salesman problem
TL;DR: A discrete PIO (DPIO) algorithm, which uses the Metropolis acceptance criterion of simulated annealing algorithm, is proposed for Traveling Salesman Problems (TSPs) and is competitive with most other state-of-the-art meta-heuristic algorithms.
Journal ArticleDOI
Automatic Carrier Landing System multilayer parameter design based on Cauchy Mutation Pigeon-Inspired Optimization
TL;DR: A multilayer optimization strategy, in which ACLS is clearly divided into four layers including inner loop, autopilot, guidance control and guidance compensation, is proposed and adopted for the parameter design and a novel algorithm, named Cauchy Mutation Pigeon-Inspired Optimization (CMPIO), is proposed to optimize ACLS parameters in each layer.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Book
Ant Colony Optimization
TL;DR: Ant colony optimization (ACO) is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals as discussed by the authors In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization.
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