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Delta-V genetic optimisation of a trajectory from Earth to Saturn with fly-by in Mars

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Delta-V genetic optimisation of a trajectory from Earth to S...

Congress on Evolutionary Computation

作者： Fernando Alonso Zotes Matilde Santos Peñas Universidad Nacional de Educación a Distancia Madrid Spain Department of Computer Architecture and Automatic Control Facultad de Informatica Universidad Complutense de Madrid Madrid Spain

The aim of this article is to analyse the results obtained when using a genetic algorithm (GA) to optimise the interplanetary trajectory of a spacecraft. The desired trajectory should visit Saturn, after performing a gravitational assistance or fly-by in planet Mars. The GA tunes a set of variables, in order to achieve the mission purpose while satisfying the constraints and minimizing the delta-V of the mission. Due to the complexity of the implemented models and the lack of analytical solutions, an alternative non-traditional algorithm provided by soft-computing techniques such as GA is necessary to achieve an optimum solution. The positions of planets as provided by Jet Propulsion Laboratory have been considered. A variable mutation rate has been implemented that broadens the search area whenever the population becomes uniform. The results are very useful from the point of view of mission analysis and therefore can be used as an initial guess for further optimizations. They can also be the first step for a more refined analysis and time-consuming simulations based on more complex models of orbital perturbations.

关键词： Mars Saturn Earth Trajectory Orbits Probes

Robust predictive PI controller

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Robust predictive PI controller

IEEE International Conference on Systems, Man and Cybernetics

作者： J.M. De la Cruz S. Dormido F. Velasco Computer Science and Automatic Control Department Facultad de Ciencias Fisicas Universidad Complutense de Madrid Madrid Spain Computer Science and Automatic Control Department UNED Madrid Spain Electronic Department Facultad de Ciencias Fisicas Santander Spain

A robust discrete-time PI controller can be designed for stable systems based on a simple model. The controller has three tuning parameters, one of them being the sampling period, which can be chosen from the step response of the plant. The relationships between the parameters assuring the stability of the system are derived. The structure of the controller is a particular case of Internal Model control (IMC) (Morari and Zafiriou, 1989), and can also be used to control processes with large dead times. The paper establishes the model and derives the discrete controller. The conditions for asymptotic stability of the closed-loop system for an unknown stable plant are derived. The paper applies the proposed scheme to plant with large dead times and its relationship with the predictive PI controller of (Hagglund, 1992) is shown.< >

关键词： Robust control automatic control Sampling methods Asymptotic stability computer science Regulators control systems Closed loop systems Process control Robustness

Stability analysis of gradient-based distributed formation control with heterogeneous sensing mechanism: Two and three robot case

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arXiv 2020年

作者： Chan, Nelson P.K. Jayawardhana, Bayu de Marina, Hector Garcia Engineering and Technology Institute Groningen University of Groningen Nijenborgh 4 Groningen9747AG Netherlands Department of Computer Architecture and Automatic Control at the Faculty of Physics Universidad Complutense de Madrid Madrid28040 Spain

This paper focuses on the stability analysis of a formation shape displayed by a team of mobile robots that uses heterogeneous sensing mechanism. Depending on the convenience and reliability of the local information, each robot utilizes the popular gradient-based control law which, in this paper, is either the distance-based or the bearing-only formation control. For the two and three robot case, we show that the use of heterogeneous gradient-based control laws can give rise to an undesired invariant set where a distorted formation shape is moving at a constant velocity. The (in)stability of such an invariant set is dependent on the specified distance and bearing constraints. For the two robot case, we prove almost global stability of the desired equilibrium set while for the three robot case, we guarantee local asymptotic stability for the correct formation shape. We also derive conditions for the three robot case in which the undesired invariant set is locally attractive. Numerical simulations are presented for illustrating the theoretical results in the three robot *** Codes 34H05, 70E60, 93C10, 93C85 © 2020, CC-BY-NC-SA.

关键词： control theory

Securing isosceles triangular formations under heterogeneous sensing and mixed constraints

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arXiv 2021年

作者： Chan, Nelson P.K. Jayawardhana, Bayu de Marina, Hector Garcia Engineering and Technology Institute Groningen University of Groningen Nijenborgh 4 Groningen9747AG Netherlands Department of Computer Architecture and Automatic Control Faculty of Physics Universidad Complutense de Madrid Madrid28040 Spain

This paper focuses on securing a triangular shape (up to translation) for a team of three mobile robots that uses heterogeneous sensing mechanism. Based on the available local information, each robot employs the popular gradient-based control law to attain the assigned individual task(s). In the current work, robots are assigned either distance and signed area task(s) or bearing task(s). We provide a sufficient condition on the gain ratio RAd between the signed area and the distance control term such that the desired formation shape, an isosceles triangle, is reached from all feasible starting positions. Numerical simulations are provided to support the theoretical *** Codes 93D99 © 2021, CC BY-NC-SA.

关键词： Robots

Angle-Constrained Formation control for Circular Mobile Robots

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arXiv 2020年

— In this letter, we investigate the formation control problem of mobile robots moving in the plane where, instead of assuming robots to be simple points, each robot is assumed to have the form of a disk with equal radius. Based on interior angle measurements of the neighboring robots’ disk, which can be obtained from low-cost vision sensors, we propose a gradient-based distributed control law and show the exponential convergence property of the associated error system. By construction, the proposed control law has the appealing property of ensuring collision avoidance between neighboring robots. We also present simulation results for a team of four circular mobile robots forming a rectangular *** Codes 34H05, 70E60, 93C10, 93C85 Copyright © 2020, The Authors. All rights reserved.

关键词： Mobile robots

Stability of Linear Systems under Extended Weakly-Hard Constraints

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arXiv 2021年

作者： Vreman, Nils Pazzaglia, Paolo Magron, Victor Wang, Jie Maggio, Martina The Department of Automatic Control Lund University Sweden The Department of Computer Science Saarland University Germany The Laboratory for Analysis and Architecture of Systems CNRS France The Academy of Mathematics and Systems Science CAS China

control systems can show robustness to many events, like disturbances and model inaccuracies. It is natural to speculate that they are also robust to sporadic deadline misses when implemented as digital tasks on an embedded platform. This paper proposes a comprehensive stability analysis for control systems subject to deadline misses, leveraging a new formulation to describe the patterns experienced by the control task under different handling strategies. Such analysis brings the assessment of control systems robustness to computational problems one step closer to the controller implementation. Copyright © 2021, The Authors. All rights reserved.

关键词： Networked control systems

Optimization of Neural Networks using Swarm Intelligence Techniques for Achieving Energy Efficiency in Smart Building architecture 1

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Optimization of Neural Networks using Swarm Intelligence Tec...

1st IEEE International Conference on Cognitive Robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Raja, M. Karthick Shermatova, Makhbuba Al Ansari, Mohammed Saleh Abdufattokhov, Shokhjakhon Rao, Vuda Sreenivasa Raj, I. Infant Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India Turin Polytechnic University in Tashkent Civil Engineering and Architecture Department Tashkent Uzbekistan University of Bahrain College of Engineering Department of Chemical Engineering Bahrain Turin Polytechnic University Automatic Control and Computer Engineering Dept Italy Tashkent Intl. University of Education Dept of Information Technologies Tashkent Uzbekistan Koneru Lakshmaiah Education Fou. Green Fields Department of Computer Science and Engineering A.P Vaddeswaram522302 India K. Ramakrishnan College of Engineering Department of Computer Science and Engineering Tamil Nadu Trichy621 112 India

ISBN: (纸本)9798350372748

The increasing prevalence of smart building architectures, driven by the integration of Internet of Things (IoT) devices and automation systems, has led to a surge in energy consumption. This research explores the application of swarm intelligence techniques as an innovative approach to optimize neural networks, aiming to strike a balance between maintaining the desired performance levels and minimizing energy consumption. The study investigates the integration of swarm-based optimization algorithms, such as Particle Swarm Optimization (PSO) into the training and operation of neural networks. These algorithms enable the networks to dynamically adapt and optimize their parameters in response to changing environmental conditions and user requirements. The research focuses on developing a comprehensive framework that considers the specific challenges posed by smart building architectures, including real-time data processing, sensor integration, and adaptive control. The proposed approach aims to achieve optimal neural network configurations that minimize energy consumption while ensuring reliable and responsive operation of smart building systems. The results demonstrate the potential of swarm intelligence to significantly improve the energy efficiency of neural network-enabled smart building architectures, providing a promising avenue for sustainable and intelligent infrastructure. The proposed model has an accuracy of 98.23% which is 7.64% higher than that of the traditional approaches. © 2024 IEEE.

关键词： Energy efficiency

Robot 2015: Second Iberian Robotics conference: Advances in robotics, volume 1 2nd

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Robot 2015: Second Iberian Robotics conference: Advances in ...

2nd Iberian Robotics Conference, ROBOT 2015

作者： Reis, Luís Paulo Moreira, António Paulo Lima, Pedro U. Montano, Luis Muñoz-Martinez, Victor University of Minho School of Engineering Information Systems Department Guimarães Portugal University of Porto INESC-TEC Porto Portugal University of Lisbon Instituto Superior Técnico Institute for Systems and Robotics Lisboa Portugal University of Zaragoza School of Engineering and Architecture Computer Systems Engineering Department Zaragoza Spain University of Malaga Superior Technical School of Industrial Engineers Automatic Control Systems Engineering Department Málaga Spain

Forced variational integrator for distance-based shape control with flocking behavior of multi-agent systems ⁎

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IFAC-PapersOnLine 2020年第2期53卷 3348-3353页

作者： Leonardo Colombo Patricio Moreno Mengbin Ye Héctor Garcia de Marina Ming Cao Institute of Mathematical Sciences (ICMAT) Madrid Spain LAR-GPSIC Facultad de Ingeniería Universidad de Buenos Aires Argentina Optus-Curtin Centre of Excellence in Artificial Intelligence Curtin University Australia Faculty of Physics Department of Computer Architecture and Automatic Control Universidad Complutense de Madrid Madrid Spain Faculty of Science and Engineering ENTEG University of Groningen Netherlands

A multi-agent system designed to achieve distance-based shape control with flocking behavior can be seen as a mechanical system described by a Lagrangian function and subject to additional external forces. Forced variational integrators are given by the discretization of Lagrange-d’Alembert principle for systems subject to external forces, and have proved useful for numerical simulation studies of complex dynamical systems. We derive forced variational integrators that can be employed in the context of control algorithms for distance-based shape with velocity consensus. In particular, we provide an accurate numerical integrator with a lower computational cost than traditional solutions, while preserving the configuration space and symmetries. We also provide an explicit expression for the integration scheme in the case of an arbitrary number of agents with double integrator dynamics. For a numerical comparison of the performances, we use a planar formation consisting of three autonomous agents.

关键词： Shape control Distributed control Multi-agent systems Forced variational integrators