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SSRN 2024年

作者： Hu, Julin He, Hongwen Wang, Zexing Ji, Shuang Duan, Zhihui National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing China National New Energy Vehicle Technology Innovation Center Beijing China

In a novel parallel hybrid electric vehicle (HEV) configuration, the transition from pure electric mode to hybrid mode encompasses critical operations such as engine startup, coordinated control of motor and engine torque, and engagement of the clutch. Addressing the intricate challenges associated with enhancing speed tracking performance during and after mode transition, mitigating jerk during mode transition, and minimizing mode transition time, this paper conducts a meticulous analysis of the vehicle configuration and mode transition process. The mode transition process is systematically delineated into four stages, with each stage characterized by the establishment of dynamic models. Subsequently, a mode transition strategy is proposed, leveraging switched model predictive control with parametric weights (SMPC-PW). This controller framework includes the design of two model predictive controllers (MPC) tailored for two pivotal stages, the formulation of a parametric weights pattern based on pre-transition acceleration, and the development of a stage switching strategy to ensure seamless switches between controllers. The efficacy of the proposed strategy is validated through co-simulations in the Simulink and GT-Power environment. The fine-tuning of MPC parameters is grounded in multiple sets of prediction horizons and sampling time simulation results. In comparison to strategies based on MPC and PID under various acceleration scenarios, the SMPC-PW strategy consistently maintains acceleration control below 10 m/s3. It not only achieves superior speed tracking during and after mode transition but also reduces mode switch time by 0.1 s-0.3 s. These compelling results unequivocally demonstrate that the proposed mode transition strategy significantly elevates the quality of mode transition for this specific parallel HEV configuration. © 2024, The Authors. All rights reserved.

关键词： Model predictive control

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Research on Fault-Tolerant Reconstruction technology for Aerospace Electromechanical Systems Based on CPLD

Research on Fault-Tolerant Reconstruction Technology for Aer...

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China International Electrical and Energy Conference (CIEEC)

作者： Xiaokai Zhang ZhiWen Zhao Qian Wei Chunqiang Liu Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration A VIC Nanjing Engineering Institute of Aircraft Systems Nanjing China Hangzhou Institute of Technology Xidian University Xian China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

To address the high reliability requirements of aviation electromechanical control systems, this paper focuses on exploring control reconfiguration strategies for aviation electromechanical control systems. The article first establishes a reconfiguration strategy combining redundancy switching with robustness and adaptive capabilities for typical electromechanical control systems. Building upon this foundation, a fault-tolerant strategy is proposed specifically for the core controller of electromechanical control systems in aviation.

关键词： Adaptive systems Fault tolerant systems Redundancy Systems architecture Switches Reconstruction algorithms control systems

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Comprehensive Perturbation Consistency for Semi-Supervised Change Detection in Remote Sensing Images

Comprehensive Perturbation Consistency for Semi-Supervised C...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Zan Mao Xin Li Ze Luo Yingjuan Tang Dongmei Jiang Computer Network Information Center Chinese Academy of Sciences University of the Chinese Academy of Sciences PengCheng Laboratory National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Currently, many change detection (CD) methods rely on supervised learning, which necessitates extensive manually annotated data, resulting in significant labor and time requirements. Recently, semi-supervised (SS) approaches have emerged in the CD community, which exploit large amounts of unlabeled data by utilizing consistency regularization. However, these methods do not consider the broader perturbation consistency to confer better generalization of the model. In this paper, we propose a novel SS CD framework with a comprehensive perturbation consistency called CPC, which extends perturbation consistency to the entire learning period. Specifically, our CPC combines the input, feature, and network perturbations for comprehensive perturb space. And, we design two distinct structures in practice, decoupled CPC and coupled CPC. Furthermore, we propose a change-aware input perturbation that introduces expensive annotation information to further expand the input perturb space. Extensive experiments conducted on the WHUCD, and GZ-CD datasets demonstrate that the proposal performs favorably against the state-of-the-art methods.

关键词： Codes Annotations Perturbation methods Supervised learning Signal processing Acoustics Proposals Labeling Speech processing Remote sensing

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Semi-Physical Simulation of EHA Electric Drive System

Semi-Physical Simulation of EHA Electric Drive System

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China International Electrical and Energy Conference (CIEEC)

作者： ChangBao Mi ZhiWen Zhao JingXing Zhou Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration AVIC Nanjing Engineering Institute of Aircraft Systems Nanjing China Hangzhou Institute of Technology Xidian University Xian China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Electro-hydrostatic actuator (EHA) electric drive system is commonly used in more electric aircraft (MEA) and can improve aircraft performance. This article designs a high-speed permanent magnet synchronous motor (PMSM) with a rated speed of 12,000 rpm for EHA. It establishes the design and system simulation of a semi-physical real-time simulation model based on the EHA electric drive model, verifying the normal operation of the EHA electric drive system's load spectrum. This provides a reliable basis for the highly integrated and high-performance design of the EHA system, thus improving the research and development efficiency.

关键词： Actuators Atmospheric modeling Reliability engineering Permanent magnet motors Real-time systems Systems simulation aircraft

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Lower Limb Joint Torque Estimation by Neural Network and Sparse Gaussian Process with RIO Kernel 8

Lower Limb Joint Torque Estimation by Neural Network and Spa...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Wang, Mengsi Chen, Zhenlei Guo, Qing Zhan, Haoran Yan, Yao Jiang, Dan School of Aeronautics and Astronautics University of Electronic Science and Technology of China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350300178

In this study, joint torques in the sagittal plane are estimated using joint angles and electromyography (EMG) signals during subjects' walk at 7 different speeds. First, a general inter-subject model is built by backpropagation neural network (BPNN) with data from 12 subjects. Then, to improve the estimation performance of the inter-subject for a new subject, sparse gaussian process (SGP) with residual estimation using input and output (RIO) kernel is used to compensate for the model as a transfer learning method. The obtained intra-subject model has superior performance with a relatively small amount of data in the training process. This article can be referenced when you have limited training data to estimate the torques on a new subject. © 2023 IEEE.

关键词： Neural networks

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A deep reinforcement learning method for replacement optimization of aero-engine

A deep reinforcement learning method for replacement optimiz...

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2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022

作者： Liu, Hengchang Li, Bo Yao, Fengming Jiang, Liying University of Electronic and Technology of China School of Aeronautics and Astronautics China University of Electronic and Technology of China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu China

ISBN: (数字)9781665496315

ISBN: (纸本)9781665496315

Aero-engine is an important part of aircraft, its health state directly determines the safety of aircraft operation. Therefore, how to find the best replacement time for aero-engine before failure has become a crucial problem. This paper proposes an optimization algorithm for aero-engine replacement strategy based on deep reinforcement learning. The Gamma process is used to simulate the natural degradation of the aero-engine, and the homogeneous Poisson distribution is used to simulate the random shock of the external environment. The degradation process of aero-engines in the real service environment is simulated by integrating natural degradation and random shock. The replacement optimization of aero-engines is modeled by Markov decision process (MDP), and the optimal replacement strategy is solved by Double Deep Q-Learning (DDQN). Through a series of experiments, it is proved that the proposed algorithm can effectively avoid the problem of dimension explosion, and find the best timing for aero-engine replacement. © 2022 IEEE.

关键词： Reinforcement learning

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Model Based Flux Weakening control Strategy of Permanent Magnet Synchronous Motor with Voltage Feedback Compensation 10

Model Based Flux Weakening Control Strategy of Permanent Mag...

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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Zhang, Hengbin Li, Hui Wu, Yingzhe Wang, Lisheng Xue, Yuxiang University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu China Shanghai Gatek Automotive Electronics Company Ltd. Beijing Research and Development Center Beijing China

ISBN: (纸本)9798350351330

Flux weakening (FW) control is applied to offer the optimal torque/current trajectory once the rotation speed of the permanent magnet synchronous motor (PMSM) exceeds its rated speed. The voltage feedback method is one of the most commonly used FW control strategy because it is independent of the motor parameters and exhibits strong robustness. It is noted that the voltage feedback method requires sufficient bandwidth to track the target current. However, the increased bandwidth causes enhanced noise. To achieve a balance between bandwidth and noise, a novel FW control strategy combining model-based method and voltage feedback compensation has been proposed in this paper, which can guarantee both dynamic and static performance of the motor operating in FW region with sufficient robustness. Finally, the experimental verification has confirmed the validity of the proposed FW control strategy. © 2024 IEEE.

关键词： Permanent magnets

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A Novel Pulse Width Modulation Strategy Used for Permanent Magnet Synchronous Motor Drives 10

A Novel Pulse Width Modulation Strategy Used for Permanent M...

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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Xue, Yuxiang Li, Hui Wu, Yingzhe Wang, Lisheng Zhang, Hengbin University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu China Shanghai Gatek Automotive Electronics Company Ltd. Beijing Research and Development Center Beijing China

ISBN: (纸本)9798350351330

The pulse width modulation (PWM) technique is extensively employed in permanent magnet synchronous motor (PMSM) drives, which is classified into continuous PWM and discontinuous PWM (DPWM). The continuous PWM is more prevalent in PMSM drives, however, its performance diminishes notably in the high modulation index region compared to DPWM. In this paper, a novel DPWM method is proposed to enhance PMSM performance in the high modulation index region. According to the simulation and experiment results, it is demonstrated that the proposed DPWM method exhibits reduced high-order harmonics in this region compared to other DPWM strategies like DPWMMIN, DPWMMAX, and DPWM3. Additionally, a mixed PWM strategy is introduced and implemented in 12-V PMSM drives. The relative results indicate that space vector PWM (SVPWM) is utilized in the low modulation index region and transitions to the novel DPWM in the high modulation index region, resulting in reduced harmonics throughout the control process. © 2024 IEEE.

关键词： Pulse width modulation

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Numerical simulation on flow boiling characteristics in sinusoidal channels of airborne micro heat exchanger

Numerical simulation on flow boiling characteristics in sinu...

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2021 International Conference on Mechatronics technology and Aerospace Engineering, ICMTAE 2021

作者： Liang, Xingzhuang Xu, Yu Wang, Jian State Key Laboratory of Fire Science University of Science and Technology of China Hefei230026 China AVIC Shenyang Aircraft Design and Research Institute Shenyang110035 China Key Laboratory of Aircraft Environment Control and Life Support MIIT Nanjing University of Aeronautics and Astronautics Nanjing210016 China

With the miniaturization of airborne system, heat dissipation has become a critical issue. Since sinusoidal channel can enhance flow disturbance, it has a stronger heat exchange capacity than that of straight channel. However, flow boiling characteristics in sinusoidal channel are more complex. Here, numerical simulations of flow boiling in sinusoidal and straight microchannels are conducted based on the VOF model with the inner diameter of 1 mm, mass flux of 500 kg/m2 s and heat flux of 50 kW/m2. The effects of channel structure and hypergravity are obtained. The simulation results indicate that bubble evolution in sinusoidal channel is more complex than that in straight channel, and bubbles are more likely to coalesce, deform and break. Vortices appear in sinusoidal channel and disrupt the near-wall boundary layer. Bubble evolution combined with vortices affect the flow boiling performances. For straight channel, dryout is less likely to occur, while for sinusoidal channel, it is more likely due to more drastic flow changes. Furthermore, the transition of flow patterns is faster under hypergravity. For sinusoidal channel, flow patterns transform earlier into slug and circular flows. © Published under licence by IOP Publishing Ltd.

关键词： Vortex flow

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aircraft Heat Exchanger Fault Detection Model Based on Extended Kalman Filter

Aircraft Heat Exchanger Fault Detection Model Based on Exten...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Xinxin Liu Bing Chen Yifeng Zhang Xizhen Cui State Key Laboratory of Airliner Integration Technology and Flight Simulation Comac Shanghai Aircraft Design & Research Institute Shanghai China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798331510107

ISBN: (纸本)9798331510114

Heat exchangers are crucial components of aircraft air management systems, primarily responsible for cooling high-temperature engine bleed air and providing air at the appropriate temperature for downstream gas systems. Failures in heat exchangers can reduce heat transfer efficiency, affect the performance of air management systems, and in severe cases, even lead to catastrophic accidents for aircraft. This paper proposes a nonlinear dynamic thermodynamic physical model of the heat exchanger, which, based on the Extended Kalman Filter (EKF), can estimate model parameters when the inlet and outlet temperatures and mass flow rates of the heat exchanger are known. Additionally, bench tests of a clean heat exchanger were conducted in the laboratory, and the test data were used to optimize the Extended Kalman Filter. The results show that the optimized model has high sensitivity and robustness, making it suitable for fault detection in aircraft heat exchangers.

关键词： Sensitivity Parameter estimation Atmospheric modeling Fault detection Heat engines Data models Robustness Kalman filters aircraft Resistance heating

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