2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)最新文献_第5页

Iterative Learning Fault Estimation Algorithm for Time-delay Systems Based on Extended Observer 基于扩展观测器的时延系统迭代学习故障估计算法

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516122

Hongfeng Tao, Q. Wei

引用次数: 1

Iterative Learning Based Model Identification and State of Charge Estimation of Lithium-Ion Battery 基于迭代学习的锂离子电池模型辨识与充电状态估计

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516048

Qiao Zhu, Mengen Xu, Meng’qian Zheng

{"title":"Iterative Learning Based Model Identification and State of Charge Estimation of Lithium-Ion Battery","authors":"Qiao Zhu, Mengen Xu, Meng’qian Zheng","doi":"10.1109/DDCLS.2018.8516048","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8516048","url":null,"abstract":"This work focuses on the accurate identification of Lithium-ion battery’s nonlinear parameters by using an iterative learning method. First, the 2nd-order RC model is introduced. Then, when the battery repeatedly implements a discharging trial from SOC 100% to 0%, an iterative learning based recursive least square (IL-RLS) algorithm is presented to accurately identify the nonlinear parameters of the regression model. The essential idea of IL-RLS algorithm is to improve the current parameter estimations by learning the estimation errors of the previous trails. Notably, the IL-RLS algorithm needs to be implemented offline for the long-time repetitive trials, which is the price worth paying to accurately identify the nonlinear parameters. After that, the parameters are identified as the functions of SOC by using the IL-RLS, which are verified by comparing with the result of the classic identification method for current pulses. Finally, by using the classic extended Kalman filter (EKF) as well as the parameters identified by the IL-RLS to estimate the SOC, three dynamic operation conditions are given to show the efficiency of the IL-RLS, where all the SOC estimation errors are less than 2%.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"16 1","pages":"222-228"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84556011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Iterative Identification for A Class of Closed-loop Systems Based on A Greedy Algorithm 一类基于贪心算法的闭环系统迭代辨识

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516028

Junyao You, Huan Xu, Yanjun Liu, J. Chen

引用次数: 0

An Intelligent Car Temperature Control System 智能汽车温度控制系统

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515980

Xiongnan He, Songchen Jiang, Qiuye Sun

{"title":"An Intelligent Car Temperature Control System","authors":"Xiongnan He, Songchen Jiang, Qiuye Sun","doi":"10.1109/DDCLS.2018.8515980","DOIUrl":"https://doi.org/10.1109/DDCLS.2018.8515980","url":null,"abstract":"Nowadays, more and more residential cars apply various of services of energy saving to help themselves improve performances and decrease cost. As for the car air conditioning, some put forward ideas that using neuron-fuzzy method can precisely control the cooling capacity, the other hold the view that power line communication based photovoltaic (PV) system can effectively manage the energy. In this paper, it aims to deal with the shortcomings that aforementioned do not take the realistic environment and the neuron-fuzzy method’s disadvantages into consideration. As a result, this paper comes up an intelligent car temperature control system(ICTCS),which, comparing with conventional temperature control systems, has two main advantages——one is using three criterions, namely light intensity outside cars(I),temperature inside cars(T) and sunshine incident angle(α), to judge what kind of environment the car is in on earth and decide car cooling capacity over , the other is applying neuron-fuzzy system to train the comprehensive temperature to try its best to decrease faster. It will refrigerate in different stalls in the standard of difference between temperature inside cars and calculated most suitable temperature. Applying the above system into actual experiments, we can find under the premise that cooling effect stays nearly the same, the energy consumption gets decreased, which is to say, the ICTCS gets good results.","PeriodicalId":6565,"journal":{"name":"2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"27 1","pages":"1058-1063"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83273852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Data-Driven Process Monitoring Approach with Disturbance Decoupling* 一种具有干扰解耦的数据驱动过程监测方法*

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515978

Hao Luo, Kuan Li, M. Huo, Shen Yin, O. Kaynak

引用次数: 7

A Data-driven Optimal Iterative Learning Control with Data Loss Compensation 具有数据丢失补偿的数据驱动最优迭代学习控制

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516060

Yunkai Lv, R. Chi, Na Lin

引用次数: 1

Direction of Arrival Estimation Based on Generalized Reference Curve Model 基于广义参考曲线模型的到达方向估计

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516103

Lizhi Cui, Xuhui Bu, Junqi Yang, Yi Yang, Weina He

引用次数: 0

Direct Torque Control of PMSM Based on Model Free iPI Controller 基于无模型iPI控制器的永磁同步电机直接转矩控制

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516031

Yang Liu, Wenxu Yan, Dezhi Xu, Weilin Yang, Wentao Zhang

引用次数: 3

Simulation Model for the AGC System of Isolated Microgrid Based on Q-learning Method 基于q -学习方法的孤立微电网AGC系统仿真模型

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8516101

Penghu Wang, Hao Tang, K. Lv

引用次数: 3

Markov Parameters Sequence Identification Oriented Data-Driven LQ=H∞ Robust Preview Control 面向马尔可夫参数序列辨识的数据驱动LQ=H∞鲁棒预览控制

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI: 10.1109/DDCLS.2018.8515911

Kezhen Han, X. Zong, Shi Li

引用次数: 1