Dynamic Modeling &amp; Stability Analysis of a Generic UAV in Glide Phase

Mir, Imran; Maqsood, Adnan; Akhtar, Shazia

doi:10.1051/matecconf/201711401007

Cited by 30 publications

(11 citation statements)

References 16 publications

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“…Next we perform extended simulations to verify the performance of proposed CME-AOA algorithm under different for environmental conditions (refer Figure (4)(5)(6)(7)(8)(9). The utilization of hybrid strategy with the integration of some random weights in the utility value emphasizes the robot to forecast the next position which leads to the obstacle collision.…”

Section: A Simulation Resultsmentioning

confidence: 99%

“…The research in the area of mobile robotics covers a wide variety of subjects [1][2][3][4][5][6][7], with their broaden genre being Unmanned Aerial Vehicles (UAV) [8][9][10][11][12][13][14][15][16][17][18]. Path planning, routing, localization, networking, and sensing are some of the well-known technologies that deal with preconditioned maps of the ecosystems [19].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Robot Space Exploration: An Augmented Arithmetic Approach

et al. 2021

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Space exploration refers to constructing a map with the aid of sensor data. This exploration is achieved utilizing a group of robots in an obstacle cluttered environment and distributing tasks amongst these robot(s). The robotic configuration is equipped with sensors to acquire data from the surroundings and to ensure collision-free motion. This paper presents a framework for the design of a Hybrid Stochastic Optimizer (HSO) for multi-robot space exploration. The proposed algorithm augments deterministic Coordinated Multi-Robot Exploration (CME) and stochastic Arithmetic Optimization (AO) techniques for maximizing the utility. The framework initially utilizes deterministic CME to ascertain the cost and utility values of adjacent cells around robot(s). The overall solution accuracy is then improved utilizing the Arithmetic Optimization algorithm. The proposed utilization of hybrid is interpreted that the algorithm starts with deterministic technique and continues off with stochastic method until the required improved solution with the desired accuracy is achieved. The effectiveness of the proposed Hybrid Stochastic Optimizer is ascertained by training the multi-robotic framework in various complexity maps. The results efficacy is then demonstrated by comparing the results of the HSO algorithm with those achieved from two contemporary techniques namely conventional CME and hybrid CME with whale optimizer. Results demonstrate that the proposed HSO algorithm significantly improved the exploration parameters by enhancing the explored area and reducing the search time.

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Section: A Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Robot Space Exploration: An Augmented Arithmetic Approach

et al. 2021

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“…In order to evaluate performance, as well as to develop a guidance and control system, it has to create a suitable model that meets the specific properties of the guided bomb. In this research, 6-DOF ( 30 ) model which is typically utilised in flight dynamic modelling, is used to model the vehicle motion in the 3D space. A flat Earth approximation is used to define the inertial co-ordinate system.…”

Section: Problem Setupmentioning

confidence: 99%

Guidance and control of standoff air-to-surface carrier vehicle

Mir

Akhtar²,

Eisa

et al. 2019

Aeronaut. j.

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This paper presents an open framework, through which, conventional general purpose aerial munitions can be converted into smart munitions. The retrofit consists of a smart adaptation kit (SAK) having a dedicated Guidance and Control Module (GCM). The adaptation kit along with the GCM ensures that the SAK glide optimally towards the designated target. To reduce cost, the number of control surfaces of the SAK has been kept to a bare minimum, which resulted in an under actuated system. The methodology proposed utilises the theory of gain-scheduled control and leads to an efficient procedure for the design of the controllers, which accurately track reference trajectories defined in an inertial reference frame. The paper illustrates the application of this procedure to the design of stabilisation and tracking controller for the SAK. The design phase is summarised, and the performance of the resulting controllers is assessed in simulation using dynamic model of the vehicle. Simulation results show that apart from improved circular error probable (CEP) of hitting the target, munition ballistic range has also significantly increased with the proposed modification.

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“…The rapidly increasing fleet of UAVs, along with the widening sphere of their utility, therefore presents a serious challenge for the designers to formulate unique optimal control strategies. However, technological advancements in the aviation sector [4][5][6][7] and ground control vehicles [8][9][10][11][12][13][14][15][16][17][18][19] paved the way for the development of hi-fidelity systems. These UAVs help researchers by providing means to collect multi-spectral information with limited resources and data collection times which is critical for time sensitive dynamic data [20].…”

Section: Introductionmentioning

confidence: 99%

Data Driven Model Estimation for Aerial Vehicles: A Perspective Analysis

et al. 2022

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Unmanned Aerial Vehicles (UAVs) are important tool for various applications, including enhancing target detection accuracy in various surface-to-air and air-to-air missions. To ensure mission success of these UAVs, a robust control system is needed, which further requires well-characterized dynamic system model. This paper aims to present a consolidated framework for the estimation of an experimental UAV utilizing flight data. An elaborate estimation mechanism is proposed utilizing various model structures, such as Autoregressive Exogenous (ARX), Autoregressive Moving Average exogenous (ARMAX), Box Jenkin’s (BJ), Output Error (OE), and state-space and non-linear Autoregressive Exogenous. A perspective analysis and comparison are made to identify the salient aspects of each model structure. Model configuration with best characteristics is then identified based upon model quality parameters such as residual analysis, final prediction error, and fit percentages. Extensive validation to evaluate the performance of the developed model is then performed utilizing the flight dynamics data collected. Results indicate the model’s viability as the model can accurately predict the system performance at a wide range of operating conditions. Through this, to the best of our knowledge, we present for the first time a model prediction analysis, which utilizes comprehensive flight dynamics data instead of simulation work.

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Dynamic Modeling & Stability Analysis of a Generic UAV in Glide Phase

Cited by 30 publications

References 16 publications

Multi-Robot Space Exploration: An Augmented Arithmetic Approach

Multi-Robot Space Exploration: An Augmented Arithmetic Approach

Guidance and control of standoff air-to-surface carrier vehicle

Data Driven Model Estimation for Aerial Vehicles: A Perspective Analysis

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