Abstract in English:

ABSTRACT This article introduces a technique for suppressing pilot-induced oscillations (PIO) in aircraft equipped with fly-by-wire (FBW) flight controls. Drawing from the real-time oscillation verifier (ROVER) concept proposed by Mitchell and Hoh, in 1994, and an adaptive suppression system by Moura in 2018, the method involves dynamically adjusting stability derivatives via software during aircraft operation. The ROVER detects PIO conditions during flight, directing changes to the aircraft’s dynamics. Switching to a less susceptible model during PIO mitigates oscillations. The study focuses exclusively on longitudinal motion and pitch angle control. The proposed system is implemented and simulated using MATLAB routines, complemented by human pilot trials on a flight simulator. Results demonstrate real-time detection of PIO oscillations and effective mitigation, ensuring system integrity with acceptable degradation in flight qualities during transitions.

Abstract in English:

ABSTRACT When multiple targets are close to each other and intersect, the Gaussian mixture probability hypothesis density (GM-PHD) filtering algorithm experiences degraded tracking performance. To address this problem, a neighborhood multi-target tracking optimization algorithm based on weight correction is proposed. In the proposed method, a proximity monitoring mechanism is first introduced to detect the distance between targets. Next, the similarity between the measured data and the target predicted value is calculate to form a similarity matrix. If there are multiple data points in a row of the similarity matrix exceed the threshold, further correction should be performed on the data in that row. Finally, the weight correction matrix is formed by combining the above two steps. Simulation results demonstrate that the tracking accuracy and stability of the proposed algorithm are significantly improved in scenarios of multi-target intersection and parallel tracking, and its performance is better than that of the traditional GM-PHD filtering algorithm.

Abstract in English:

ABSTRACT This study presents the development of a methodology for designing neuro-adaptive robust controllers based on a reference model associated with an artificial neural network of radial basis functions (ANN-RBF) for solid fuel suborbital rockets. The modelling and neuro-adaptive robust control algorithms for these rockets are presented. Initially, the methodology is evaluated for a robust controller based on a reference model with ANN-RBF for altitude control. The main objective of the control is to suppress the effect of non-linear uncertainties inherent in the process. The method involves mathematical and computational modelling, together with the design of adaptive controllers for stability and performance analysis. The controllers considered include model reference adaptive control (MRAC) techniques and a model reference neuro-adaptive control (MRNAC) approach. The analysis, carried out using computer simulations, evaluates the behavior of each controller in relation to system stability and performance. The final objective is to select the most suitable controller for the suborbital rocket, taking into account the system constraints, robust performance requirements, robust stability, and optimal adaptability. This research promotes the development of adaptive controllers for suborbital rockets, with possible applications in scientific research and commercial launches.

Abstract in English:

ABSTRACT This paper addresses the use of cooperative systems in the management of innovative projects and their contribution to increasing the chances of success in the case study of the KC-390 Program, a significant project in the Brazilian aeronautical industry. Based on the administrative theory of cooperative systems, the study focuses on collaboration and trust in innovative projects, using the Technology Readiness Level as a guide for decisions. Complex products and systems require customized approaches due to their complexity and high engineering costs. Innovation in these projects depends on collaboration and trust between the developer and the requester. The methodology used includes applied and qualitative research, exploring bibliographic, documentary, and field research data. The KC-390 case study highlights the partnership between the Brazilian Air Force Command and Empresa Brasileira de Aeronaves (Embraer), evidencing how this relationship has been fundamental for technological development. The paper also explores the dual certification process of the KC-390, where the implementation of a collaborative process in the Conformity Demonstration Planning phase brought innovation to military certification. This innovation broke with the traditional paradigm of certification of aeronautical products in the country and was possible, mainly, due to the relationship of trust between the certifying authority and the integrating company.

Abstract in English:

ABSTRACT This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced, and the constraint satisfaction model for task scheduling in the InSAR satellite system is constructed. To address the mission allocation issue between the chief satellite and deputy satellites, a mission conflict detection and resolution mechanism is developed. Moreover, based on the single-objective student psychology-based optimization (SPBO) algorithm, a modified non-dominated sorting SPBO (NSSPBO) algorithm is proposed to tackle the multi-objective task scheduling problem for the InSAR satellite system. Numerical simulations are presented to demonstrate the effectiveness and superiority of the proposed NSSPBO algorithm.

Abstract in English:

ABSTRACT The use of non-intrusive instrumentation has been growing in different scenarios in the industry. In the aerospace field, non-intrusive or hybrid instrumentation approaches have demonstrated robustness and viability, presenting significant advantages such as mass reduction of space vehicles, flexibility, and reduction of instrumentation lead time. This work presents a brief overview of a hybrid instrumentation system, in which the Wi-Fi standard communication protocol is highlighted. As a case study, the experimental structural modal analysis technique was adopted to show the technical advantages of using this promising data acquisition (DAq) system. To achieve this, test data were acquired using the traditional wired method between sensors, DAq, and the computer, as well as a wireless transmission protocol, via Wi-Fi, between the DAq and the computer. The comparisons of the results of the modal analysis experiments showed good agreement, indicating the Wi-Fi communication protocol is suitable and reliable for the tested scenario.

Abstract in English:

ABSTRACT Aircraft maintenance operations are carried out by aircraft maintenance technicians (AMTs) with the necessary competencies and qualifications. The level of competency of maintenance technicians directly affects the safety and effectiveness of maintenance operations and flight operations. The aim of this study is to determine the safety culture and responsibility competencies and assessment methods for AMTs. Data related to the study were collected by conducting individual interviews and focus group discussions with 83 participants. The data were analyzed using the content analysis method and coding technique. As a result of individual interviews and focus group discussions with the participants, it was decided to use “safety perception (30.14%),” “aviation culture (29.58%),” “personal protective equipment (PPE) (28.73%),” “risk perception (6.48%),” and “occupational health and safety (5.07%)” to assess safety culture competency. It was decided to use “attendance (40.08%),” “work ethics (25.95%),” “reporting and suggestion (18.99%),” and “health and wellness (14.98%)” to assess responsibility competency. It has been determined that individuals such as technicians with relevant competencies, human factors specialists, and aviation psychology specialists should take part as assessors, as well as safety management system (SMS), quality, and human resources units in the assessment processes of the competencies.

Abstract in English:

ABSTRACT This paper presents the application of the unscented Kalman filter (UKF) for estimating the dynamic states of a maneuvering tank using a second-order Gauss-Markov process model. The proposed method is effective in capturing the oscillatory characteristics, damping effects, and the impact of uncertain disturbances on the tank’s dynamics, leading to improved estimation accuracy compared to traditional linear methods. Simulation results demonstrate that the UKF outperforms the extended Kalman filter (EKF) in accurately estimating the tank’s position, velocity, and acceleration, even in the presence of significant noise and disturbances. This study highlights the superiority of the UKF in handling nonlinear dynamics and its potential application in military vehicle tracking systems.

Abstract in English:

ABSTRACT This study theoretically delineates China’s current airspace based on airspace management rules, primarily by constructing air corridors to optimize the existing structure, with validation through aviation carbon emissions analysis. First, seven air corridors were delineated based on route clustering analysis, and their significance was further evaluated through carbon emission efficiency comparison. The results show that: 1) the seven corridors are mainly located in central and eastern China, forming a “diamond-shaped three-dimensional structure”; 2) there are significant differences in operational scale among the corridors, with the Harbin-Haikou route being the most active and the Chongqing-Zhuhai route the least; 3) the total carbon emissions from the seven corridors amount to 619,431 tons, with carbon emissions and efficiency positively correlated with aircraft type, cruising time, and operational scale; 4) the flight density within established corridors is higher than before their formation, and they accommodate more flights. This study provides a broad coverage, highlighting the structural characteristics of China’s airspace.

Abstract in English:

ABSTRACT This study addresses the finite-time formation control issues associated with time-delay multi-agent systems. To tackle the challenges of finite-time stability in delay systems, Artstein’s transformation is utilized. A distributed finite-time consensus algorithm is developed, incorporating an event-triggered control scheme and a corresponding triggering function to minimize unnecessary energy consumption and reduce the frequency of controller updates. The validity of the proposed approach is rigorously established through Lyapunov stability theory and finite-time stability theory, ensuring the absence of Zeno behavior. Furthermore, building upon the finite-time consensus algorithm, a finite-time formation control algorithm is formulated, enabling a group of agents to follow a designated leader while maintaining a specified formation shape. By employing feedback linearization, the unmanned aerial vehicle model is transformed into a precise linearized model. Finally, the application of this framework to formation control is presented, demonstrating the effectiveness of the proposed results.

Abstract in English:

ABSTRACT This paper presents a method for calculating the delay time and determining the fixed delay components for laser fuzes installed on man-portable air defense systems (MANPADS), targeting small aerial vehicles such as cruise missiles. The method is based on the “kinematic-geometric” relationship between the missile, fragments, and the target, ensuring that the average fragment trajectory passes through the target’s center. Approach scenarios are divided into zones, with each zone using a common delay component. The laser beam’s inclination angle is aligned with the average fragment trajectory, ensuring delay time independence from miss distance. The approach zones are defined by kinematic relationships, including head-on or tail-chase modes and the azimuth angle. The delay time for each zone is calculated as the average delay across all scenarios within that zone. The method eliminates the effect of miss distance, with delay components dependent only on the missile’s direction of motion. A case study applying the model shows minimal error when using the average miss distance, and the results confirm that the fragment stream consistently hits the target across all approach scenarios. The proposed method offers an effective solution for accurately determining delay time and optimizing fuze performance in MANPADS.

Abstract in English:

ABSTRACT For a robotic heterogeneous complex (RHC) consisting of a ground wheeled robot (GWR) and an unmanned aerial vehicle (UAV) connected by a tether mechanism (TM) and subject to steady wind acting on the UAV, a methodology for selecting control parameters for UAV landing on the GWR is considered. Landing is proposed along the straight line connecting the tether attachment point on the UAV with its base on the GWR. A synthesis of control for the TM and UAV engines was carried out to ensure landing within a predetermined time. A corresponding mathematical model of UAV and TM motion was derived. It is shown that the UAV’s equilibrium positions along the line are stable, ensuring minimal engine energy consumption during landing. A synthesis of piecewise-linear damping coefficients in the control systems for the TM and UAV engines was performed by selecting moments of slope change based on synchronizing the instantaneous tether length and the distance from the UAV to the landing point. Simulation of the full equations of motion confirmed the feasibility of the proposed UAV landing methodology on the GWR and the validity of the assumptions made.