Journal of Dynamic Systems Measurement and Control-Transactions of the Asme最新文献_第7页

Reinforcement Learning for Active Noise Control in a Hydraulic System 基于强化学习的液压系统噪声主动控制

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049556

E. Anderson, B. Steward

引用次数: 0

Track-Following Controller Design Using an Active Magnetic Bearing for Measurement of the Rotor Dynamics Coefficient of the Annular Seal 采用主动磁轴承测量环形密封转子动力学系数的轨迹跟踪控制器设计

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049542

S. Yabui, H. Inoue, T. Inoue

{"title":"Track-Following Controller Design Using an Active Magnetic Bearing for Measurement of the Rotor Dynamics Coefficient of the Annular Seal","authors":"S. Yabui, H. Inoue, T. Inoue","doi":"10.1115/1.4049542","DOIUrl":"https://doi.org/10.1115/1.4049542","url":null,"abstract":"\u0000 This study introduces a track-following controller design to measure the rotor dynamics (RD) coefficient of the annular seal using active magnetic bearings. The annular seal is implemented contiguously to prevent leakage of fluid between the rotating shaft and stationary area of a rotating machine. The force caused by the seal at the contact point can cause vibrations, which should be identified for designing rotating machinery. The RD force is coupled with mechanical and fluid dynamics. Moreover, the dynamics depend on the operating conditions of the rotating machine, namely, the rotating speed and orbit of the rotating shaft. This study proposes a control system for the active magnetic bearing to measure the RD force directly at the arbitrary operating condition. The main controller is designed to satisfy a criterion of the frequency characteristics of the rotating system. In addition, the control system employs adaptive feed-forward cancellation (AFC). This can estimate and compensate for the RD force in the control system simultaneously. The experimental results indicate that the control system can achieve an arbitrary operating condition and measure the RD coefficient of the annular seal in real-time. As a result, the RD coefficient is identified based on the equation of motion.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89649339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quadratic Constrained Periodic Optimization for Bandlimited Linear Systems Via the Fourier-Based Method 基于傅里叶方法的带限线性系统的二次约束周期优化

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049541

G. Moretti, L. Zaccarian, F. Blanchini

引用次数: 1

Online Spark Timing Optimization With Complex High-Fidelity Combustion Phasing, Knock, and Coefficient of Variation of IMEP Models 在线火花定时优化与复杂的高保真燃烧相位，爆震，和系数变化的IMEP模型

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049733

Qilun Zhu, R. Prucka, Shu Wang, Michael J Prucka

{"title":"Online Spark Timing Optimization With Complex High-Fidelity Combustion Phasing, Knock, and Coefficient of Variation of IMEP Models","authors":"Qilun Zhu, R. Prucka, Shu Wang, Michael J Prucka","doi":"10.1115/1.4049733","DOIUrl":"https://doi.org/10.1115/1.4049733","url":null,"abstract":"\u0000 The combustion phasing of spark ignition (SI) engines is traditionally regulated with map-based spark timing (SPKT) control. The calibration of these maps is time-consuming for SI engines with a high number of control actuators. This paper proposes three online SPKT optimization algorithms that can utilize control-oriented semiphysics-based combustion models making the SPKT control algorithm more adaptive to different engine designs. These three SPKT optimizers do not require model inversion and derivative information. These methods also preserve the dependence between combustion phasing, knock, and coefficient of variation (COV) of indicated mean effective pressure (IMEP) models to avoid evaluating combustion models multiple times within one iteration. The two-phase and constraint relaxation methods are derived from direct search optimization theories. The recursive least square (RLS) polynomial fitting method can be considered as a virtual extreme seeking (ES) process that converts the original “black” box nonlinear constrained optimization into the solution of three low-order polynomial equations. Although these three online SPKT optimization approaches have unique properties making them preferable with certain types of combustion models, simulation and test results show that all of them can find the optimal SPKT with less than 10 evaluations of the combustion models. This fact makes it possible to implement the proposed model-based SPKT control strategy in future engine control units (ECUs).","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78314098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Particle Filter and Long Short-Term Memory Fusion Technique for Lithium-Ion Battery Remaining Useful Life Prediction 锂离子电池剩余使用寿命预测的粒子滤波与长短期记忆融合技术

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049234

Xiaosong Hu, Yang Xin, F. Feng, Kailong Liu, Xianke Lin

{"title":"A Particle Filter and Long Short-Term Memory Fusion Technique for Lithium-Ion Battery Remaining Useful Life Prediction","authors":"Xiaosong Hu, Yang Xin, F. Feng, Kailong Liu, Xianke Lin","doi":"10.1115/1.4049234","DOIUrl":"https://doi.org/10.1115/1.4049234","url":null,"abstract":"\u0000 Accurate prediction of the remaining useful life (RUL) of lithium-ion batteries can improve the durability, reliability, and maintainability of battery system operation in electric vehicles. To achieve high-accuracy RUL predictions, it is necessary to develop an effective method for long-term nonlinear degradation prediction and quantify the uncertainty of the prediction results. To this end, this paper proposes a hybrid approach for lithium-ion battery RUL prediction based on particle filter (PF) and long short-term memory (LSTM) neural network. First, based on the training set, the model parameters are iteratively updated using the PF algorithm. Second, the LSTM model parameters are obtained using the training set. The mean and standard deviation in the prediction stage are obtained through Monte Carlo (MC) dropout. Finally, the mean value predicted by MC-dropout is used as the measurement for the PF in the prediction phase, the standard deviation represents the uncertainty of the prediction result, and the mean and standard deviation are integrated into the measurement equation of the model. The experimental results show that the proposed hybrid approach has better prediction accuracy than the PF, LSTM algorithm, and two other types of hybrid approaches. The hybrid approach can obtain a narrower confidence interval.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81926004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Transversely Stable Extended Kalman Filters for Systems on Manifolds in Euclidean Spaces 欧几里德空间流形上系统的横向稳定扩展卡尔曼滤波

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-06-01 DOI: 10.1115/1.4049540

Jae-Hyeon Park, Karmvir Singh Phogat, Whimin Kim, D. Chang

引用次数: 3

Optimal Design for Energy Harvesting Vibration Absorbers 能量收集减振器的优化设计

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-05-01 DOI: 10.1115/1.4049235

Jiqiang Wang

引用次数: 2

Lumped-Parameter Response Time Models for Pneumatic Circuit Dynamics 气动回路动力学的集总参数响应时间模型

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-05-01 DOI: 10.1115/1.4049009

Andrew A. Stanley, A. Amini, C. Glick, Nathan S. Usevitch, Yigit Menguc, Sean Keller

{"title":"Lumped-Parameter Response Time Models for Pneumatic Circuit Dynamics","authors":"Andrew A. Stanley, A. Amini, C. Glick, Nathan S. Usevitch, Yigit Menguc, Sean Keller","doi":"10.1115/1.4049009","DOIUrl":"https://doi.org/10.1115/1.4049009","url":null,"abstract":"\u0000 Resistor–capacitor (RC) response time models for pressurizing and depressurizing a pneumatic capacitor (mass accumulator) through a resistor (flow restriction) comprise a framework to systematically analyze complex fluidic circuits. A model for pneumatic resistance is derived from a combination of fundamental fluid mechanics and experimental results. Models describing compressible fluid capacitance are derived from thermodynamic first principles and validated experimentally. The models are combined to derive the ordinary differential equations that describe the RC dynamics. These equations are solved analytically for rigid capacitors and numerically for deformable capacitors to generate pressure response curves as a function of time. The dynamic pressurization and depressurization response times to reach 63.2% (or 1−e−1) of exponential decay are validated in simple pneumatic circuits with combinations of flow restrictions ranging from 100 μm to 1 mm in diameter, source pressures ranging from 5 to 200 kPa, and capacitor volumes of 0.5 to 16 mL. Our RC models predict the response times, which range from a few milliseconds to multiple seconds depending on the combination, with a coefficient of determination of r2=0.983. The utility of the models is demonstrated in a multicomponent fluidic circuit to find the optimal diameter of tubing between a three-way electromechanical valve and a pneumatic capacitor to minimize the response time for the changing pressure in the capacitor. These lumped-parameter models represent foundational blocks upon which timing models of pneumatic circuits can be built for a variety of applications from soft robotics and industrial automation to high-speed microfluidics.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79328613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Optimized Artificial Neural Network Model and Compensator in Model Predictive Control for Anomaly Mitigation 异常预测控制中优化的人工神经网络模型和补偿器

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-05-01 DOI: 10.1115/1.4049130

Seong Hyeon Hong, Jackson Cornelius, Yi Wang, K. Pant

{"title":"Optimized Artificial Neural Network Model and Compensator in Model Predictive Control for Anomaly Mitigation","authors":"Seong Hyeon Hong, Jackson Cornelius, Yi Wang, K. Pant","doi":"10.1115/1.4049130","DOIUrl":"https://doi.org/10.1115/1.4049130","url":null,"abstract":"\u0000 This paper presents a new artificial neural network (ANN)-based system model that concatenates an optimized artificial neural network (OANN) and a neural network compensator (NNC) in series to capture temporally varying system dynamics caused by slow-paced degradation/anomaly. The OANN comprises a complex, fully connected multilayer perceptron, trained offline using nominal, anomaly free data, and remains unchanged during online operation. Its hyperparameters are selected using genetic algorithm-based meta-optimization. The compact NNC is updated continuously online using collected sensor data to capture the variations in system dynamics, rectify the OANN prediction, and eventually minimize the discrepancy between the OANN-predicted and actual response. The combined OANN–NNC model then reconfigures the model predictive control (MPC) online to alleviate disturbances. Through numerical simulation using an unmanned quadrotor as an example, the proposed model demonstrates salient capabilities to mitigate anomalies introduced to the system while maintaining control performance. We compare the OANN–NNC with other online modeling techniques (adaptive ANN and multinetwork model), showing it outperforms them in reference tracking of altitude control by at least 0.5 m and yaw control by 1 deg. Moreover, its robustness is confirmed by the MPC consistency regardless of anomaly presence, eliminating the need for additional model management during online operation.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84276433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Theoretical Control-Centric Modeling for Precision Model-Based Sliding Mode Control of a Hydraulic Artificial Muscle Actuator 基于精确模型的液压人工肌肉作动器滑模控制的理论控制中心建模

IF 1.7 4区计算机科学

Journal of Dynamic Systems Measurement and Control-Transactions of the Asme Pub Date : 2021-05-01 DOI: 10.1115/1.4049565

Jonathon E. Slightam, M. Nagurka

{"title":"Theoretical Control-Centric Modeling for Precision Model-Based Sliding Mode Control of a Hydraulic Artificial Muscle Actuator","authors":"Jonathon E. Slightam, M. Nagurka","doi":"10.1115/1.4049565","DOIUrl":"https://doi.org/10.1115/1.4049565","url":null,"abstract":"\u0000 Artificial muscles (AMs) traditionally rely on pneumatic sources of fluid power. The use of hydraulics can increase the power and force to weight and volume ratios of AM actuators. This paper develops a control-centric third-order single-input single-output (SISO) lumped-parameter dynamic model and sliding mode position controller based on Filippov's principle of equivalent dynamics for a braided hydraulic artificial muscle (HAM) actuator. The model predicts the nonlinear behavior of the HAM free contraction and captures the fluid and actuator nonlinear dynamic interactions in addition to the braid deformation. Model simulations are compared to experimental results for quasi-static pressurization, isometric pressurization, and open-loop square wave commands at 0.25, 0.5, and 1 Hz. Experiments of sine wave tracking at 0.25, 0.5, and 1 Hz and continuous square wave tracking at 0.067 Hz are conducted using a sliding mode controller (SMC) derived from the model. The SMC achieves a steady-state error of 6 μm at multiple setpoints within the actuator's 17 mm stroke. Compared to a proportional-integral-derivative (PID) controller, the SMC root-mean-square (RMS) error, mean error, and absolute maximum error are reduced on average by 53%, 61%, and 44%, respectively, demonstrating the benefit of model-based approaches for controlling HAMs.","PeriodicalId":54846,"journal":{"name":"Journal of Dynamic Systems Measurement and Control-Transactions of the Asme","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73157620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6