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Reinforcement Q-learning based flight control for a passenger aircraft under actuator fault

Discover Mechanical Engineering 2025年第1期4卷 1-22页

作者： Mohammadi, Navid Ebrahimi, Moein Tayefi, Morteza Nikkhah, Amirali Institute of Intelligent Control Systems K. N. Toosi University of Technology Tehran Iran

This paper discusses the design of a flight control system for an airplane whose aerodynamic elevators are damaged. An optimal control utilizing a Q-learning algorithm is designed to achieve the appropriate behavior of the airplane. For this purpose, the linear dynamic model in the cruise flight of the airplane is augmented with the actuator dynamics, incorporating two tunable parameters: the control gain and the actuator time delay into the airplane dynamics. The control coefficients are computed using the Q-learning algorithm for different modes to evaluate the scenarios with healthy and faulty actuator cases. The numerical results in comparison with LQR controller highlight the potential of Q-learning as a practical approach to designing controllers for passenger airplanes, considering fault conditions. Moreover, the key advantage of the proposed algorithm compared to model-based controllers such as LQR is that this Q-learning control strategy is model-free and robust to path tracking, uncertainty, and disturbances. © The Author(s) 2025.

关键词： Airplane Attitude control Fault Q-learning Reinforcement learning

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Influence of Primary and Secondary Path Estimation Accuracy on Active Noise control Performance

Influence of Primary and Secondary Path Estimation Accuracy ...

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2025 systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2025

作者： Djigan, Victor I. Institute of Microdevices and Control Systems National Research University of Electronic Technology Moscow Russia

ISBN: (纸本)9798331532635

An Active Noise control (ANC) system based on a modified architecture is considered. This architecture allows to accelerate the convergence of the adaptive filtering algorithms in use. Besides, it allows to use the most efficient Recursive Least Squares adaptive filtering algorithms which provide the fastest convergence comparing to the gradient search-based adaptive algorithms. The architecture of the ANC system and its mathematic description are presented. The simulation results demonstrate the ANC system performance. It is shown, that the number of the adaptive filter weighs can be decreased about 30% of the theoretically required value without any observable loss of the ANC performance. This is possible because of fading shape of the primary and secondary path acoustic impulse responses. As the result, the contribution of the impulse response 'tails' to the signals at the error microphone of the ANC system is comparable with that of the ambient noise. This also allows to decrease the required number of the adaptive filter weights and to decrease the computational resources required to the implementation of the ANC system. © 2025 IEEE.

关键词： Adaptive filtering

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Knowledge As Not Only Justified True Beliefs in Vision

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 297-299页

作者： Wenbo Zheng Fei-Yue Wang IEEE School of Computer Science and Artificial Intelligence Wuhan University of Technology Sanya Science and Education Innovation Park of Wuhan University of Technology the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences

COMPUTATIONAL knowledge vision [1] is emphasized as a novel perspective or field in this paper. It first proposes the visual hierarchy and its connection to knowledge, stating that knowledge is a justified true belief. To further the previous research, we concisely summarize our recent works and suggest a new direction that knowledge is also a thought framework in vision.

关键词： Computational modeling Visualization Artificial intelligence Data models Visual perception Visual databases Training data

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A Novel Construction Method and control Strategy of Modular Battery Energy Storage systems Based on Improved Droop control

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IEEE Transactions on Power Electronics 2025年第8期40卷 11490-11508页

作者： Wang, Chao Zhang, Qiangxiang Han, Li Xiao, Yiping Xie, Kang Wu, Tiezhou Liang, Mengjun Hubei University of Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage Systems Wuhan430068 China

The battery balancing technology based on modular converters needs to solve the problem of how to make many modular converters in series and parallel work together stably. In this paper, according to the characteristics of modular battery energy storage systems, the application form of droop control is improved, and a Battery Unit with Converter (BUC) is designed by combining battery, modular converter and droop control. The properties of parallel BUCs and series BUCs are analyzed and redesigned to make them suitable for series-parallel expansion and the output current sharing control of the batteries. On this basis, a construction method of energy storage systems based on BUCs is proposed. And a two-layer composite control strategy based on improved droop control is proposed, including the lower control strategy and the upper control strategy. Both simulation and physical experiments show that the proposed scheme can realize the constant voltage or constant current control of the total output of the energy storage system, and it can make the output current of each battery shared according to a given ratio with high control accuracy, and it can tolerate the communication failure of up to 2.5 s. © 2025 IEEE.

关键词： Battery storage

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Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI

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Neural Computing and Applications 2025年第5期37卷 3435-3454页

作者： Hussen, Noha Salem, Mofreh Eldesouky, Ali I. Sakr, Noha Elghamrawy, Sally Computers and Control Systems Engineering Department Mansoura University Mansoura Egypt Computer Engineering Department Misr Higher Institute for Engineering and Technology Mansoura Egypt

The increasing prevalence of drones has raised significant concerns regarding their potential for misuse in activities such as smuggling, terrorism, and unauthorized access to restricted airspace. Consequently, the development of robust and efficient drone detection systems has become paramount. Traditional detection methods such as radar and acoustic sensors have limitations in detecting small drones and can be costly to implement. This can lead to lower detection rates and increased security breaches and safety concerns. However, prevailing methodologies often falter in achieving real-time detection with requisite precision and efficacy, particularly within complex operational environments. Motivated by the imperative to surmount these challenges, our research endeavors to introduce a pioneering real-time drone detection framework. Our study encapsulates several seminal advancements. Firstly, we proffer a groundbreaking framework that synergizes advanced integration technique based on texture feature extraction and pattern recognition techniques for real-time drone detection to increase accuracy to detect drones in different conditions such as bad weather and low resolution. Secondly, we introduce an intuitive graphical user interface, enhancing the usability and accessibility of the system in real-time scenario. Lastly, through exhaustive evaluation and comparative analysis, we substantiate the superior performance of our framework in terms of accuracy, precision, and real-time detection capabilities compared to conventional DDS methodologies. Its stability and effectiveness render it a compelling solution for security-focused entities, notably those within air force and military systems. Our experimental results reveal a commendable accuracy rate of 97%, affirming the reliability and precision 98% and recall parameter 98% of our framework in accurately identifying and detecting drones, thus surpassing recent models in the field. © The Author(s), under exclusive

关键词： Graphical user interfaces

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Linear active disturbance rejection control of fighter aircraft based on MADDPG algorithm

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International Journal of systems, control and Communications 2025年第2期16卷 152-172页

作者： Lin, Yetong Ji, Yuehui Song, Yu Liu, Junjie Tianjin Key Laboratory for Control Theory and Applications in Complicated Industry Systems School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China

To address nonlinearity, strong coupling, and disturbances in fighter aircraft attitude control, this paper proposes an intelligent control method based on multi-agent deep deterministic policy gradient (MADDPG) and linear active disturbance rejection control (LADRC). A three-channel LADRC controller estimates and compensates for disturbances, uncertainties, and coupling terms in real time. To overcome the dimensionality curse in multi-parameter optimization, an independent DDPG controller is assigned to each channel, ensuring cooperative control via reward sharing and enhancing dynamic response and disturbance rejection. Additionally, long short-term memory (LSTM) and self-attention mechanisms are integrated into the policy and value networks to improve representation and decision-making. A piecewise combined reward function mitigates sparse rewards. Simulations show that, compared to MADQN-based and traditional LADRC methods, the proposed approach achieves superior control performance and significantly reduces manual parameter tuning efforts. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Disturbance rejection

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Stability and Stabilization of Sampled-Data Based LFC for Power systems:A Data-Driven Method

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 291-293页

作者： Yu-Long Fan Chuan-Ke Zhang Yong He the School of Automation China University of Geosciences the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education IEEE

Dear Editor,This letter is concerned with stability analysis and stabilization design for sampled-data based load frequency control(LFC) systems via a data-driven method. By describing the dynamic behavior of LFC systems based on a data-based representation, a stability criterion is derived to obtain the admissible maximum sampling interval(MSI) for a given controller and a design condition of the PI-type controller is further developed to meet the required MSI. Finally, the effectiveness of the proposed methods is verified by a case study.

关键词： Sampled data control systems

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BGS Distribution Deformation in BOTDR Induced by Self-Phase Modulation

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Photonic Sensors 2025年第1期15卷 11-25页

作者： Haoting WU Wencun GUO Zixuan ZHONG Guolu YIN Tao LIU Tao ZHU State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China The Key Laboratory of Optoelectronic Technology&Systems(Ministry of Education) Chongqing UniversityChongqing 400044China

We report the numerical and experimental studies of the two-dimensional Brillouin gain spectrum(BGS)distribution deformation induced by the self-phase modulation in the Brillouin optical time domain reflectometry(BOTDR)with a 20.6 km sensing *** BGS distribution deformation is investigated by analyzing the evolution of the point spread function along the fiber in the two-dimensional model of the *** the simulation and experimental results,the specific deformation degree of the BGS distribution induced by the self-phase modulation is related to the pump pulse profile,pump pulse peak power,BGS demodulation method,and detected scattered light *** comprehensively analyzing the evolution of the point spread function induced by the self-phase modulation and using the image deconvolution,a typical BOTDR sensor with a 25 ns pump pulse reaches the 20 cm spatial resolution over the 20.6 km sensing fiber.

关键词： Optical time domain reflectometry Brillouin scattering self-phase modulation deconvolution

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Model-Free Predictive control in Anaerobic Digestion Wastewater Treatment

Model-Free Predictive Control in Anaerobic Digestion Wastewa...

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2025 SICE International Symposium on control systems, SICE ISCS 2025

作者： Pratvittaya, Jiravit King Mongkut's University of Technology Thonburi Department of Control Systems and Instrumentation Engineering Bangkok Thailand

ISBN: (纸本)9784907764852

Anaerobic digestion is a wastewater treatment method that utilizes bacterial decomposition to convert organic matter into biogas, which provides both environmental and economic benefits. However, controlling biogas production in anaerobic digestion systems poses significant challenges due to the complexity and non-linearity of the digestion process. This study explores the application of model-free predictive control for anaerobic digestion systems, utilizing only inputoutput data without using mathematical models as in conventional control approaches. Previous research has demonstrated the applicability of this approach for nonlinear systems, particularly in multi-input, multi-output nonlinear systems. In this study extends the methodology to controlling in methane production of anaerobic digestion systems, evaluating its effectiveness through numerical simulations. © 2025 The Society of Instrument and control Engineers.

关键词： Anaerobic digestion

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Wireless sensor research at the Rolls-Royce control and systems University technology Centre

Wireless sensor research at the Rolls-Royce Control and Syst...

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International Conference on Wireless Communication, Vehicular technology, Information Theory and Aerospace and Electronic systems technology (Wireless VITAE)

作者： H.A. Thompson Rolls-Royce Control and Systems University Technology Centre Sheffield UK

The brief of the Rolls-Royce University technology Centre in control and systems Engineering at the University of Sheffield's is to perform research and development of engine control and monitoring systems. Over recent years work has been investigating and developing the key components to provide a complete approach to remote asset monitoring, from local networks of wireless sensors gathering information in harsh environments, to data transfer using telecoms, to intensive data analysis using grid computing coupled with sophisticated decision support systems based on CBR. This paper gives an overview of work within the centre on the practical development and testing of wireless sensor technology for test bed engines and long-term asset management.

关键词： Wireless sensor networks Sensor systems control systems Engines Remote monitoring Testing systems engineering and theory Research and development Telecommunication control Data analysis

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