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Turbo-shaft engine adaptive neural network control based on nonlinear state space equation

Chinese Journal of Aeronautics 2024年第4期37卷 493-507页

作者： Ziyu GU Qiuhong LI Shuwei PANG wenxiang zhou Jichang WU Chenyang ZHANG Jiangsu Province Key Laboratory of Aerospace Power System Nanjing University of Aeronautics and AstronauticsNanjing 210016China AECC Hunan Aviation Powerplant Research Institute Zhuzhou 412002China

Intelligent Adaptive Control(AC) has remarkable advantages in the control system design of aero-engine which has strong nonlinearity and uncertainty. Inspired by the Nonlinear Autoregressive Moving Average(NARMA)-L2 adaptive control, a novel Nonlinear State Space Equation(NSSE) based Adaptive neural network Control(NSSE-AC) method is proposed for the turbo-shaft engine control system design. The proposed NSSE model is derived from a special neural network with an extra layer, and the rotor speed of the gas turbine is taken as the main state variable which makes the NSSE model be able to capture the system dynamic better than the NARMA-L2 model. A hybrid Recursive Least-Square and Levenberg-Marquardt(RLS-LM) algorithm is advanced to perform the online learning of the neural network, which further enhances both the accuracy of the NSSE model and the performance of the adaptive controller. The feedback correction is also utilized in the NSSE-AC system to eliminate the steady-state tracking error. Simulation results show that, compared with the NARMA-L2 model, the NSSE model of the turboshaft engine is more accurate. The maximum modeling error is decreased from 5.92% to 0.97%when the LM algorithm is introduced to optimize the neural network parameters. The NSSE-AC method can not only achieve a better main control loop performance than the traditional controller but also limit all the constraint parameters efficiently with quick and accurate switching responses even if component degradation exists. Thus, the effectiveness of the NSSE-AC method is validated.

关键词： Adaptive control systems Turbo-shaft engine Neural network Nonlinear state space equation NARMA-L2

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VCE身份证动态模型部件特性快速自动修正方法

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航空动力学报 2024年第9期39卷 497-512页

作者：邹泽龙黄金泉周鑫周文祥鲁峰南京航空航天大学能源与动力学院南京210016

为实现模型部件特性快速自动修正的工程需求,提出一种针对身份证模型部件特性的增强型自动修正策略,以稳态试车数据为输入,依据可测传感器组合,分析选取合适的特性修正系数组合,并耦合个体试车数据对共同工作方程进行设计,利用多点修模... 详细信息

为实现模型部件特性快速自动修正的工程需求,提出一种针对身份证模型部件特性的增强型自动修正策略,以稳态试车数据为输入,依据可测传感器组合,分析选取合适的特性修正系数组合,并耦合个体试车数据对共同工作方程进行设计,利用多点修模的双环策略快速自动修正部件特性,实现某型变循环发动机身份证模型的快速自动修正。采取逆流路扰动及Newton-Raphson迭代阻尼系数自调整法和特性图外插保护逻辑等方法提高算法的运行速率和稳定性。仿真结果表明:修正后模型输出最大误差小于0.1%,在2.10 GHz处理器的计算机上单、双涵道模式与常规部件级模型相比,耗时减少98.6%以上,所修正后模型可用于控制律设计以及为确定发动机当前真实状态提供参考。

关键词：变循环发动机增强型模型快速自动修正策略多点修模的双环策略 Newton-Raphson迭代阻尼系数自调整身份证动态模型

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基于动作意图理解的人机情感化体验设计研究

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设计 2024年第2期37卷 124-127页

作者：周文祥湖南涉外经济学院人文艺术学院

为有效增进人与机器人在状态理解、动作预测和相互回应过程中的情感体验。基于动作意图理解等相关理论文献研究,结合设计应用实践,探索性提出,从感知模仿层、行为控制层、体验构建层3个层次框架下,通过肢体与表情动作等信息设计来促进... 详细信息

为有效增进人与机器人在状态理解、动作预测和相互回应过程中的情感体验。基于动作意图理解等相关理论文献研究,结合设计应用实践,探索性提出,从感知模仿层、行为控制层、体验构建层3个层次框架下,通过肢体与表情动作等信息设计来促进动作意图理解,以期构建良好的人机情感互动关系。经实例应用和Psycho Py数据测试,结果显示(p<0.5)差异具有统计学意义。研究能有效促进人机之间的情感理解和传情绪递;对于人机情感互动体具有指导意义。

关键词：人机情感意图理解自然人机交互体验设计情感化设计

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Direct thrust control for multivariable turbofan approach

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Chinese Journal of Aeronautics 2022年第6期35卷 125-136页

作者： Yiyang ZHU Jinquan HUANG Muxuan PAN wenxiang zhou Jiangsu Province Key Laboratory of Aerospace Power System College of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

A novel turbofan Direct Thrust Control(DTC)architecture based on Linear ParameterVarying(LPV)approach for a two-spool turbofan engine thrust control is proposed in this *** of transforming thrust command to shaft speed command and pressure ratio command,the thrust will be directly controlled by an optimal controller with two control *** model of the engine is established for the designing of thrust estimator and controller.A robust LPV H∞filter is introduced to estimate the unmeasurable thrust according to measurable engine *** thrust estimation error system is proved to be Affinely Quadratically Stable(AQS)in the whole parameter box with a prescribed H∞performance indexγ.Due to the existence of overdetermined equations,the solving of controller parameters is a multi-solution ***,Particle Swarm Optimization(PSO)algorithm is used to optimize the controller parameters to obtain satisfactory control performance based on the engine’s LPV *** simulations show that the thrust estimator can acquire smooth and accurate estimating results when sensor noise *** optimal controller can receive desired control performance both in steady and transition control tasks within the engine working states above the idle,verifying the effectiveness of the proposed DTC architecture’s application in thrust direct control problem.

关键词： Turbofan engine Direct thrust control Linear Parameter Varying(LPV)approach Particle Swarm Optimization(PSO) Robust LPV H∞filter

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成都市域快轨减振措施效果分析

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都市快轨交通 2024年第1期37卷 120-126页

作者：谢玉梅贺玉龙徐鸿程宇杰周文祥西南交通大学地球科学与环境工程学院成都611756 中铁二院工程集团有限责任公司生态环境设计研究院成都610031

为评价市域快轨的减振效果,以成都市域快轨18号线某圆形盾构隧道为例,选取了线路条件基本相同的相近断面,对双层非线性减振扣件、减振垫浮置板、钢弹簧浮置板3种减振措施及对应普通道床断面进行现场测试,研究市域快轨减振措施的减振效... 详细信息

为评价市域快轨的减振效果,以成都市域快轨18号线某圆形盾构隧道为例,选取了线路条件基本相同的相近断面,对双层非线性减振扣件、减振垫浮置板、钢弹簧浮置板3种减振措施及对应普通道床断面进行现场测试,研究市域快轨减振措施的减振效果。通过对实测数据进行时域、频域和1/3倍频程分析,得到不同减振措施和普通断面的隧道壁最大Z振级(VL_(Zmax)),并对比得到不同减振措施的减振效果;通过对测点的隧道壁振动加速度级及地面振动进行1/3倍频程分析,得到振动的传播衰减情况。结果表明:3种减振措施都有减振效果,双层非线性减振扣件减振效果为7.3 dB,减振垫浮置板的减振效果为16.2 dB,钢弹簧浮置板的减振效果最好,达到了19.7 dB。

关键词：市域快轨减振措施减振效果 1/3倍频程双层非线性减振扣件减振垫浮置板钢弹簧浮置板

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Neural network-based model predictive control with fuzzy-SQP optimization for direct thrust control of turbofan engine

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Chinese Journal of Aeronautics 2022年第12期35卷 59-71页

作者： Yangjing WANG Jinquan HUANG wenxiang zhou Feng LU Wenhao XU Jiangsu Province Key Laboratory of Aerospace Power System College of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China

A nonlinear model predictive control method based on fuzzy-Sequential Quadratic Programming(SQP)for direct thrust control is proposed in this paper for the sake of improving the accuracy of thrust *** designed control system includes four parts,namely a predictive model,rolling optimization,online correction,and feedback *** the strong nonlinearity of engine,a predictive model is established by Back Propagation(BP)neural network for the entire flight envelope,whose input and output are determined with random forest algorithm and actual situation *** optimization typically uses SQP as the optimization algorithm,but SQP algorithm is easy to trap into local ***,the fuzzy-SQP algorithm is proposed to prevent this disadvantage using fuzzy algorithm to determine the initial value of *** addition to the traditional three parts of model predictive control,an online correction module is added to improve the predictive accuracy of the predictive model in the predictive time *** results show that the BP predictive model can reach a certain degree of predictive accuracy,and the proposed control system can achieve good tracking performance with the limited parameters within the safe range。

关键词： Direct thrust control Fuzzy-SQP algorithm Limit protection Neural network Nonlinear model predictive control Random forest Turbofan engine

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水库水位的VMD-CNN-GRU混合预测模型

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南京信息工程大学学报 2024年第2期16卷 239-246页

作者：韩莹王乐豪魏平慧李占东周文祥南京信息工程大学自动化学院南京210044 南京信息工程大学大气环境与装备技术协同创新中心南京210044 上饶师范学院上饶农业技术创新研究院上饶334001 辽宁省葠窝水库管理局有限责任公司辽阳111000

水库水位预测为其运营、防洪、水资源调度管理提供了重要决策支持.准确可靠的预测对水资源的优化管理起着至关重要的作用.针对水库水位数据的非线性、不稳定性以及复杂的时空特性,提出一种融合自适应变分模态分解(VMD)、卷积神经网络(C... 详细信息

水库水位预测为其运营、防洪、水资源调度管理提供了重要决策支持.准确可靠的预测对水资源的优化管理起着至关重要的作用.针对水库水位数据的非线性、不稳定性以及复杂的时空特性,提出一种融合自适应变分模态分解(VMD)、卷积神经网络(CNN)和门控循环单元(GRU)的混合水库水位预测模型.VMD通过对水位序列进行分解消除噪声,CNN用于有效提取水位数据的局部特征,GRU用于提取水位数据的深层时间特征.以葠窝水库日水位为例,与多个相关模型对比分析,结果表明:精度方面,新模型在选取的评价指标上均表现最佳;运算效率方面,本文选择的GRU与长短时记忆网络(LSTM)相比,运算效率显著提高.新模型预测的高精度、高运算效率更能满足实际水库水位实时调度的需求.

关键词：水位预测变分模态分解门控循环单元卷积神经网络深度学习

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Robust decentralized control design for aircraft engines: A fractional type

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Chinese Journal of Aeronautics 2019年第2期32卷 347-360页

作者： Muxuan PAN Liangjin CAO wenxiang zhou Jinquan HUANG Ye-Hwa CHEN College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics The George W.Woodruff School of Mechanical Engineering Georgia Institute of Technology

A new decentralized control for aircraft engines is proposed. In the proposed control approach, aircraft engines are considered as uncertain large-scale systems composed of interconnected uncertain subsystems. For each subsystem, the time-varying uncertainty, including parameter disturbances and interconnections in/between subsystems, is depicted by a class of general nonlinear functions. A fractional robust decentralized control with two parts, the nominal one and the fractional one, is presented. The nominal control guarantees the asymptotical stability of the engine system without uncertainty. The fractional part aims at overcoming the influences of uncertainty. Compared to the previous studies, the presented control provides not only an extra flexibility for the system performance tuning by the fraction-type gain but also a facility for the control input calculation. The proposed control approach is applied to a turbofan engine with two subsystems. The computer simulation shows that, in the flight envelope, the fractional control not only guarantees the closed-loop system uniform boundedness and ultimate uniform boundedness but also shows good economy.

关键词： Aircraft engines Large-scale systems Robust decentralized control Uncertainty Uniform boundedness Uniform ultimate boundedness

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Argatroban promotes recovery of spinal cord injury by inhibiting the PAR1/JAK2/STAT3 signaling pathway

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Neural Regeneration Research 2024年第2期19卷 434-439页

作者： Chenxi Zhao Tiangang zhou Ming Li Jie Liu Xiaoqing Zhao Yilin Pang Xinjie Liu Jiawei Zhang Lei Ma wenxiang Li Xue Yao Shiqing Feng Department of Orthopedics Tianjin Medical University General HospitalTianjinChina International Science and Technology Cooperation Base of Spinal Cord Injury Tianjin Key Laboratory of Spine and Spinal Cord InjuryDepartment of OrthopedicsTianjin Medical University General HospitalTianjinChina Orthopedic Research Center of Shandong University Cheeloo College of MedicineDepartment of OrthopedicsQilu Hospital of Shandong UniversityJinanShandong ProvinceChina

Argatroban is a synthetic thrombin inhibitor approved by *** and Drug Administration for the treatment of ***,whether it plays a role in the repair of spinal cord injury is *** this study,we established a rat model of T10 moderate spinal cord injury using an NYU Impactor ModerⅢand performed intraperitoneal injection of argatroban for 3 consecutive *** results showed that argatroban effectively promoted neurological function recovery after spinal cord injury and decreased thrombin expression and activity in the local injured spinal *** sequencing transcriptomic analysis revealed that the differentially expressed genes in the argatroban-treated group were enriched in the JAK2/STAT3 pathway,which is involved in astrogliosis and glial scar *** blotting and immunofluorescence results showed that argatroban downregulated the expression of the thrombin receptor PAR1 in the injured spinal cord and the JAK2/STAT3 signal *** also inhibited the activation and proliferation of astrocytes and reduced glial scar formation in the spinal *** together,these findings suggest that argatroban may inhibit astrogliosis by inhibiting the thrombin-mediated PAR1/JAK2/STAT3 signal pathway,thereby promoting the recovery of neurological function after spinal cord injury.

关键词： argatroban astrogliosis JAK/STAT signaling pathway protease-activated receptor-1 spinal cord injury thrombin vimentin

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车轮型面磨耗对车辆服役性能的影响

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西南交通大学学报 2010年第4期45卷 549-554页

作者：李艳张卫华周文祥西南交通大学牵引动力国家重点实验室四川成都610031

针对动车组的1节车辆,利用WP—D车轮外形测量仪定期实测每个车轮的外形与轮径,得到5组车轮型面磨耗工况,并结合所选车辆的结构参数和运行线路特点,利用多体动力学软件进行了车辆动力学仿真,分析了车辆在不同磨耗工况下的动力学特性.仿... 详细信息

针对动车组的1节车辆,利用WP—D车轮外形测量仪定期实测每个车轮的外形与轮径,得到5组车轮型面磨耗工况,并结合所选车辆的结构参数和运行线路特点,利用多体动力学软件进行了车辆动力学仿真,分析了车辆在不同磨耗工况下的动力学特性.仿真结果表明:为保证车辆400 km/h以上的临界速度,车轮等效锥度应不大于0.4;磨耗车轮的型面下凹深度超过2 mm时,车辆运行安全性和曲线通过性能将显著下降,在最恶劣工况时,平稳性指标增幅达54%,轮轴横向力增大了100%.

关键词：车辆动力学动力学性能车轮型面磨耗动车组

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