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IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)

作者： Abusaid, Safa M. Elmelhi, Ali M. Coll Enineering Technol Janzour Dept Elect Engn Tripoli Libya Univ Tripoli Elect & Elect Engn Dept Tripoli Libya

ISBN: (纸本)9798350351491;9798350351484

adaptive control is a technique used for adjusting the control parameters during flight in order to maintain a desired level of performance when the parameters of the considered system are unknown and/or change with time. model reference adaptive control offers an approach for the solution of problem related to adaptive control in real-world scenarios. The objective of this study is to design an Autopilot to stabilize the longitudinal motion of the aircraft via an adaptive control design method. The proposed adaptive control design combines the model reference adaptive control with recursive least squares estimation method. This integration allows the control law gains to adaptively vary based on real-time changes in the estimated parameters of the aircraft's angle of attack obtained from the estimation algorithm. As the estimated parameters approximate the actual model parameters, the trajectory of the control gains reaches a steady state, ensuring that the actual trajectory of the angle of attack accurately tracks the reference model. In order to demonstrate the objective of this work, linear simulation was carried out to show the effectiveness of this control design method.

关键词： Autopilot control design model reference adaptive control

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Nonlinear Distributed Hamiltonian control of Very Flexible Aircraft with adaptive Gust Rejection

Nonlinear Distributed Hamiltonian Control of Very Flexible A...

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AIAA SciTech Forum

作者： Nguyen, Nhan Tuzcu, Ilhan NASA Ames Res Ctr Intelligent Syst Div Adv Control & Evolvable Syst Grp Moffett Field CA 94035 USA Sacramento State Univ Dept Mech Engn Sacramento CA 95819 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

This paper presents a nonlinear Hamiltonian control formulation for a class of very flexible aircraft such as high aspect ratio wing transports and high-altitude long-endurance (HALE) vehicles modeled by coupled nonlinear distributed Lagrangian infinite-dimensional systems coupled to finite-dimensional systems. Gust disturbance presents a major safety challenge to the design and operation of very flexible aircraft. An adaptive gust disturbance rejection distributed control is developed based on the availability of look-ahead gust sensor measurements. A nonlinear model of a very flexible HALE aircraft will be developed and the Hamiltonian distributed control with adaptive gust rejection will be applied to the aircraft model for demonstration of the proposed theory.

关键词： Aircrafts High Altitude Long Endurance Distributed Sensing High Aspect Ratio model reference adaptive control Lift Distribution Aircraft Wings Energy Distribution Aircraft Flight control Lift Coefficient

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Experimental Study on Active Vibration control of a Piezo-Beam Structure with Finite Series Based adaptive controller

Experimental Study on Active Vibration Control of a Piezo-Be...

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AIAA SciTech Forum

作者： Gezer, R. Berk Alan, A. Burkay Kutay, Ali Turker Sahin, Melin Roketsan Missiles Inc Air Def Syst Directorate Guidance & Autopilot Design Unit Ankara Turkiye Middle East Tech Univ Dept Aerosp Engn Ankara Turkiye

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

This study presents an experimental investigation of an active vibration control system implemented on a piezo-beam structure consisting of a cantilever beam with lead zirconium titanate (PZT) patches positioned at the root to measure and control its first bending mode vibration. The employed control method is an adaptive controller that utilizes frequency-domain elements represented as finite series to attenuate periodic disturbances. The magnitudes of the periodic function in the finite series are adapted using PZT sensor measurements, and the resulting adaptive control input is applied to reject periodic disturbances on the beam via actuator PZT bimorph patches. The results of this study provide insight into the efficacy of the proposed adaptive control method in mitigating unwanted vibrations in piezo-beam structures.

关键词： Active Vibration control Beam (Structures) model reference adaptive control Sensor Technology Frequency Response Functions Actuators Piezoelectric Materials Resonance Frequencies Artificial Neural Network Data Acquisition System

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Time-Delay Margin Tuning of a Quadrotor adaptive controller

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JOURNAL OF GUIDANCE control AND DYNAMICS 2023年第2期46卷 362-373页

作者： Furgiuele, Theresa C. C. Parks, Daniel J. J. Naval Surface Warfare Ctr Dahlgren Div Dahlgren VA 22448 USA

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adaptive control Allocation for Uncertain Systems with Unknown Effector Degradation

Adaptive Control Allocation for Uncertain Systems with Unkno...

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American control Conference (ACC)

作者： Sarioglu, Eren Dogan, K. Merve Embry Riddle Aeronaut Univ Aerosp Engn Dept Daytona Beach FL 32114 USA Embry Riddle Aeronaut Univ Fdn Autonomous Syst & Technol Lab Daytona Beach FL 32114 USA

ISBN: (纸本)9798350382662;9798350382655

Unknown effector degradation and model uncertainties risk weakening the performance of any system. model reference adaptive control and adaptive control allocation methods are effective solutions for over-actuated uncertain vehicles to overcome these phenomena because of their ability to estimate unknown effects. Thus, this work proposes a joint structure of adaptive control allocation and model reference adaptive control solutions for compensating the effects of unknown effector degradation and model uncertainties on attitude performance, respectfully. Specifically, Lyapunov stability analysis is provided to prove closed-loop system stability, and simulation results are presented on a multi-rotor to show that the proposed adaptive method improves command tracking performance on attitude dynamics in the presence of unknown effector degradation and uncertain center of gravity location.

关键词： model reference adaptive control

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Study of Current Prediction control for Permanent Magnet Synchronous Motors with Parameter Mismatch Consideration 5

Study of Current Prediction Control for Permanent Magnet Syn...

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5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

作者： Shu, Mengyuan Wei, Min Xian Shiyou Univ Sch Elect Engn Xian Shaanxi Peoples R China

ISBN: (纸本)9798350363272;9798350363265

Regarding high-performance servo control methods for permanent magnet synchronous motors, current prediction control strategy can reduce the ripple of system current loop. To address the issue of current prediction error resulting from parameter mismatch in the predictive model, this paper proposes a two-step current prediction control strategy considering parameter mismatch. This strategy not only accurately and rapidly identifies motor parameters to enhance system parameter robustness but also optimizes current control precision and reduces the impact of sampling and computation delays in the control system. The proposed method is validated for feasibility and effectiveness through simulations.

关键词： Permanent magnet synchronous motor Current prediction control Parameter identification model reference adaptive control

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Online Learning and Planning in Time-Varying Environments: An Aircraft Case Study

Online Learning and Planning in Time-Varying Environments: A...

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AIAA SciTech Forum

作者： Puthumanaillam, Gokul Mamik, Yuvraj Ornik, Melkior Univ Illinois Dept Aerosp Engn Urbana IL 61801 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

Aerospace vehicles routinely encounter uncertain, time-varying, and partially observable environments, presenting considerable challenges for autonomous operation and planning. Traditional learning methods, which excel in static contexts, often falter in such highly dynamic settings. Building on recently established Time-Varying Partially Observable Markov Decision Processes (TV-POMDP) and Memory Prioritized State Estimation (MPSE) methodologies, this work demonstrates their application in the advanced GUAM simulation environment, which models NASA's Generic UAM concept. The contribution of this paper lies in refining these approaches to suit the complexity and unpredictability of aerospace contexts, where conventional learning strategies are insufficient. By applying MPSE, we enhance the estimation of environmental states with aweighted approach that respects the temporality and informational value of observations. The subsequent policy optimization process is informed by the estimations of these time-varying transition functions, leading to better long-term strategies that are aware of the rapid environmental shifts characteristic of aerospace scenarios. The validation of these methods through the GUAM simulator confirms their effectiveness, marking a positive step towards their practical implementation in autonomous aerospace vehicles that encounter continual, stochastic changes.

关键词： Aircrafts Markov Decision Process Aerospace model reference adaptive control Autonomous Aerospace Vehicle Ailerons Value Function Autonomous Aerospace Systems Advanced Air Mobility Maximum Likelihood Estimation

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Numerical Simulation of a Novel Cargo Handling Strategy: Using a Centralized Cable-Linked Dual-Multirotor System

Numerical Simulation of a Novel Cargo Handling Strategy: Usi...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

作者： Gao, Tianhua Han, Xiao Tomita, Kohji Kamimura, Akiya Univ Tsukuba Grad Sch Syst & Informat Engn Tsukuba Ibaraki Japan Natl Inst Adv Ind Sci & Technol Ind Cyber Phys Syst Res Ctr Dept Informat Technol & Human Factors Tsukuba Ibaraki Japan

ISBN: (纸本)9798350355376;9798350355369

The cable-suspended transportation using multiple UAVs has gradually gained attention in UAV logistics fields over the past decade, owing to their greater efficiency compared to a single UAV transportation with heavy manipulators. This study further developed a centralized cable-linked dual-multirotor system prototype, which is expected to handle cargo of arbitrary shape and weight, attached with two hooks for loading, transporting, and unloading. To realize this, we proposed a novel Tug-of-War (ToW) method for loading/unloading and a modeling approach for transportation that treats the cargo as a disturbance. The control algorithm of the system adopted a hybrid control strategy formed by combining the model reference adaptive nonlinear model predictive control (MRA-NMPC) and the geometric control. The numerical simulation results successfully demonstrated the performance of the dual-multirotor system, and the feasibility of the ToW method was verified.

关键词： model reference adaptive control

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Suppression of Broadband Forced Torsional Vibration of Doubly-Fed Wind Turbine Shaft System Based on RBFNN-MRAC

Suppression of Broadband Forced Torsional Vibration of Doubl...

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International Conference on Wireless Power Transfer (ICWPT)

作者： Li, Zhaohui Wang, Xiaolan Wei, Tenfei Hao, Rui Wang, Jiarui Wang, Lixin Yue, Meng Lanzhou Univ Technol Lanzhou 730050 Peoples R China

ISBN: (纸本)9789819708673;9789819708659;9789819708642

The transmission chain of wind turbine shaft system exhibits wideband forced torsional vibration in the low-frequency range, which affects the stable operation of the turbine. In this paper, an RBF neural network is incorporated into the forward channel of the model reference adaptive control (MRAC) with input-output, forming the RBF neural network model reference adaptive control (RBFNN-MRAC). The three inputs of RBFNN-MRAC are identified, and the controlled object composite control signal, and adaptive control law are reshaped. This enables adaptive tracking of the gain coefficient, damping ratio, and center frequency of the band-pass filter in active damping control, ensuring that the controlled object tracks the reference model. Simulation results demonstrate that the proposed method effectively suppresses wideband forced torsional vibration, reduces torque fluctuations in the transmission shaft, and achieves smoother and more reliable generator output power.

关键词： Wind Turbine Wideband Forced Torsional Vibration RBF Neural Network model reference adaptive control

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Research on real-time control strategy of multi-power flow of dual-mode power-split hybrid electric vehicle

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING 2022年第12期236卷 2519-2543页

作者： Liu, Hui Li, Xunming Han, Lijin Wang, Weida Xiang, Changle Beijing Inst Technol Natl Key Lab Vehicular Transmiss 5 Zhongguancun South St Beijing 100081 Peoples R China Beijing Inst Technol Chongqing Innovat Ctr Chongqing Peoples R China China North Vehicle Res Inst Beijing Peoples R China

With the continuous development of hybrid vehicle control technology, great progress has been made in the research of multi-power flow collaborative control. Due to the internal delay link of each power component, the role of energy storage element, and the limitation of electric power in the whole system, the inevitable delay characteristic of state transfer is caused. Therefore, the speed of multi-power flow control torque coordinated response of hybrid vehicles needs to be improved. The dual-mode power-split hybrid electric vehicle (DMPS-HEV) overall structure and working modes are analyzed, by adopting the combination of theory and experiment method. In order to solve the problem that the power components of dual-mode power-split hybrid electric vehicle cannot follow the optimal control command of the upper energy management strategy quickly due to the engine response delay, thus affecting the control effect of the upper energy management strategy. The research on torque coordination control strategy is carried out, the reference model of electromechanical composite drive is established, and the model reference adaptive coordination control strategy based on Lyapunov stability theory is proposed. The results show that the proposed model reference adaptive torque coordinated control strategy significantly improves the effect of engine response delay on the optimization effect of energy management strategy, and can achieve the control effect of the optimal control strategy of 93.58%. The test platform of the dual-mode power-split hybrid electric vehicle was built. The control system was built based on the rapid control prototype, and the data acquisition system was built based on the NI data acquisition module. The coordinated control strategy of the dual-mode power-split hybrid electric vehicle power system proposed in this paper was verified through the bench test to significantly improve the vehicle fuel economy and the real-time performance of the control stra

关键词： Dual-mode power-split hybrid electric vehicle torque coordination dynamic coordination control strategy model reference adaptive control bench test

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