2019 Chinese Control And Decision Conference (CCDC)最新文献_第5页

Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control 基于约束模糊退化水平控制的风力发电机俯仰控制器

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8833438

M. Abdelbaky, Xiangjie Liu, X. Kong

{"title":"Wind Turbines Pitch Controller using Constrained Fuzzy-Receding Horizon Control","authors":"M. Abdelbaky, Xiangjie Liu, X. Kong","doi":"10.1109/CCDC.2019.8833438","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8833438","url":null,"abstract":"This study concentrates on the variable speed/pitch wind-turbines control for the overrated wind-speed. The pitch control is essential in this high wind-speed to adjust the rated output power. The key challenges of designing a pitch control for the wind-turbine are the constraints in the pitch-angle, wind turbine nonlinearities, the wind-speed variations, and the unmeasured states (unstructured model dynamics). From this point of view, this paper proposes constrained fuzzy-receding horizon pitch control to investigate the variable speed wind turbine performance. The proposed controller guarantees the nominal stability and converted to a simple online quadratic optimization problem which required less computational time to be solved. The proposed controller is compared with the gain scheduled-PI controller (which has been used abundantly in the wind-turbine industry) by applying the wind-turbine mathematical model. Additionally, a typical 5MW offshore wind-turbine simulator is employed to verify the results from the mathematical model. The results indicate the effectiveness of the proposed controller over the baseline controller.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171633","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: 12

Visual-based Tracking and Control Algorithm Design for Quadcopter UAV 基于视觉的四轴无人机跟踪控制算法设计

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832545

X. Qin, Tingting Wang

引用次数: 5

Social Network Structure: Groups and Their Influence 社会网络结构:群体及其影响

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832533

Jidong Jin

引用次数: 0

Experimental Study of Intelligent Autopilot for Surface Vessels Based on Neural Network Optimised PID Controller 基于神经网络优化PID控制器的水面舰艇智能自动驾驶仪实验研究

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8833314

Yufei Wang, Yuanyuan Wang, H. Nguyen

引用次数: 1

Speech Emotion Recognition Based on Deep Learning and Kernel Nonlinear PSVM 基于深度学习和核非线性PSVM的语音情感识别

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832414

Zhiyan Han, Jian Wang

引用次数: 6

Design and Realization of Fire Detection Using Computer Vision Technology 计算机视觉火灾探测系统的设计与实现

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832897

X. Hong, Wei Wang, Quanli Liu

引用次数: 4

River Water Quality Parameters Prediction Method Based on LSTM-RNN Model 基于LSTM-RNN模型的河流水质参数预测方法

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832885

Qiangqiang Ye, Xueqin Yang, Chaobo Chen, Jingcheng Wang

{"title":"River Water Quality Parameters Prediction Method Based on LSTM-RNN Model","authors":"Qiangqiang Ye, Xueqin Yang, Chaobo Chen, Jingcheng Wang","doi":"10.1109/CCDC.2019.8832885","DOIUrl":"https://doi.org/10.1109/CCDC.2019.8832885","url":null,"abstract":"This paper investigates the characteristics of dynamic nonlinearity and correlation of water quality parameter information, as well as the gradient disappearance and gradient explosion caused by the training data of traditional RNN network model, etc. The long short-term memory network structure (LSTM) is introduced to optimize the structure of RNN network and the connection weight and threshold of hidden layer. A new water quality parameter prediction model of LSTM-RNN network based on improved RNN network structure is proposed by setting the number of storage units in the hidden layer of the network, the number of structural layers of the network model, and adjusting the time window size of the data training set. Combined with the water quality monitoring data of the River in Shanghai, the model is used to predict and verify the main pollutant index COD (potassium permanganate index) in the River. The simulation results show that compared with the traditional GM (grey model) and RNN network water quality prediction model, the sample approximation accuracy and generalization ability of the training prediction based on LSTM-RNN network model is higher and better than that of the traditional GM (grey model) and RNN network model. Good comprehensive prediction performance of river water quality is presented.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728159","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: 29

Adaptive control for a class of nonlinear systems with uncertain parameters and mismatched disturbances 一类具有不确定参数和失匹配扰动的非线性系统的自适应控制

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832928

Wenhui Liu, Xiaojing Qi, X. Jia, Fei Xie

引用次数: 0

Simulation Research on Motion Trajectory of PUMA 560 Manipulator Based on MATLAB 基于MATLAB的PUMA 560机械手运动轨迹仿真研究

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832476

Tianxiang Mei, Yi Yang, Jianbo Chen, Zhang Guihong, Ziyun Jiao, Long Gao, Xiaolin Ren, Qing Li

引用次数: 3

Distributed Optimization with Multiple Linear Equality Constraints and Convex Inequality Constraints 具有多个线性等式约束和凸不等式约束的分布式优化

2019 Chinese Control And Decision Conference (CCDC) Pub Date : 2019-06-03 DOI: 10.1109/CCDC.2019.8832744

Wen-Ting Lin, Yan-wu Wang, Jiang‐Wen Xiao

引用次数: 0