2017 29th Chinese Control And Decision Conference (CCDC)最新文献

Online parameters updating method for least squares support vector machine using Unscented Kalman filter 基于Unscented卡尔曼滤波的最小二乘支持向量机参数在线更新方法

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2018-06-01 DOI: 10.1109/CCDC.2018.8407698

Liu Xiaoyong, Zhou Shufang, Yang Changguo, Lu Guangyi, Zhang Qiang

{"title":"Online parameters updating method for least squares support vector machine using Unscented Kalman filter","authors":"Liu Xiaoyong, Zhou Shufang, Yang Changguo, Lu Guangyi, Zhang Qiang","doi":"10.1109/CCDC.2018.8407698","DOIUrl":"https://doi.org/10.1109/CCDC.2018.8407698","url":null,"abstract":"It is well known that the performance of Least Squares Support Vector Machine (LSSVM) is guaranteed by k-fold cross-validation (k-CS) or other optimized approaches to choose an appropriate setting of a number of parameters including such as the regularization parameter (7) and the kernel parameter (σ) and so on. However, it is mentioned in a large number of research on k-CS that it need more computational time and large computational burden in the process of optimizing parameters for LSSVM. Moreover, the obtained parameters by CS method are fixed and it lead easily to a poor generalization capabilities in various application. In order to avoid k-CS and to implement parameters update online, this paper proposes a novel method which applied Unscented Kalman Filter (UKF) to dynamically implement parameter updating problem for LSSVM. To estimate LSSVM's parameters online, the state and measurement equations of UKF are first constructed by considering LSSVM's parameter choice as state variable and treating LSSVM model as the measurement equation, respectively. Then, the UKF approach is used to update the LSSVM parameters timely according to the last obtained instance. Applying the proposed method, LSSVM parameters are not any more fixed as tuned parameters on the training dataset, but are adjusted dynamically as new measurements arrived. Finally, the viability and superiority of the proposed method are verified by simulation.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90585704","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

UPQC Harmonic Detection Algorithm Based on Improved p-q Theory and Design of Low-Pass Filter 基于改进p-q理论的UPQC谐波检测算法及低通滤波器设计

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2018-06-01 DOI: 10.1109/CCDC.2018.8408026

Shen Silun, Zheng Hong, Lin Yong, Zhao Wei

引用次数: 3

Quadratic stabilization and L2 gain analysis of switched affine systems 切换仿射系统的二次镇定与L2增益分析

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-07-12 DOI: 10.1109/CCDC.2017.7978848

Chi Huang, G. Zhai, Wenzhi Li

引用次数: 3

Sliding mode control of electro-hydrostatic actuator based on extended state observer 基于扩展状态观测器的电静液作动器滑模控制

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978573

A. E. Alemu, Y. Fu

引用次数: 4

A control method to prevent falling from a treadmill based on STM32 microcontroller and ultrasonic transducer 基于STM32单片机和超声波传感器的跑步机防摔控制方法

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7979386

Bai Tianyu

{"title":"A control method to prevent falling from a treadmill based on STM32 microcontroller and ultrasonic transducer","authors":"Bai Tianyu","doi":"10.1109/CCDC.2017.7979386","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979386","url":null,"abstract":"A treadmill is widely used at home or health entertainment centers, its safety is essential. If the body gait is not appropriate or the inclination degree of the body is too large, movement instability may be caused or even be fallen down from a treadmill. This paper presents an intelligent electronic control method based on STM32 microcontroller and ultrasonic transducer, which can real-time automatically control the treadmill velocity through detection of the upper body position or the tilt angle of human body. Control components are mainly STM32 microcontroller, signal detection unit and motor control unit. The STM32 microcontroller accepts ultrasonic signals of detection unit from input port and digitally processes these signals, and then drives the motor control unit to adjust the operating state and speed of motor through output port. The emitting and receiving of signals are realized by using the ultrasonic T/R module. The main control method is using multiple ultrasonic transducers to measure the interval time between the emitting signals and receiving signals to detect the distance between the subject's position and treadmill or the tilt angle of the body. These collected measurement data are digitally processed by some correlation calculation algorithm, in which some noise and interference signals can be excluded to avoid false judgments. The preliminary test results show that the upper limit of the distance error is less than 8 mm for a 43 kHz ultrasonic wave, and the tilt angular error of human body is approximately 1 to 5 degrees. Therefore the proposed control method and correlation calculation are effective and feasible.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"31 1","pages":"5025-5028"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84718380","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: 3

Path planning algorithms for power transmission line inspection using unmanned aerial vehicles 基于无人机的输电线路巡检路径规划算法

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978899

Jingkui Cui, Youmin Zhang, Shao-zong Ma, Yingmin Yi, J. Xin, Ding Liu

{"title":"Path planning algorithms for power transmission line inspection using unmanned aerial vehicles","authors":"Jingkui Cui, Youmin Zhang, Shao-zong Ma, Yingmin Yi, J. Xin, Ding Liu","doi":"10.1109/CCDC.2017.7978899","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978899","url":null,"abstract":"The effectiveness and efficiency of using unmanned aerial vehicle (UAV) for automated power transmission line inspection is tightly related to the inspection paths designed for UAV. Different types of UAV are suitable for different inspection tasks and have different requirements for path planning. Based on the contents of the transmission line inspection, it can be divided into tower monitoring and line corridor monitoring. First, according to the characteristics of the tower monitoring, the multi-rotor UAV is used for the tower inspection. By considering the safe distance bewteen UAV and the tower and the features of the camera, the genetic algorithm (GA) is used to design a rational inspection path. Then, according to the requirements of the line corridor monitoring mission, the fixed-wing UAV is used for long distance inspection and the path planning mathematical model and objective function are established. Polar coordinate coding is used to overcome the restrictions of the maximum path deflection angle, the minimum step length and the number of the maximum path nodes. The GA and genetic simulated annealing (GSA) algorithms are used to obtain effective inspection paths. Simulation results show that the proposed optimization scheme in this paper can find the optimal inspection paths.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"36 1","pages":"2304-2309"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77306906","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: 25

Design of the nonlinear controller for a quadrotor trajectory tracking 四旋翼飞行器轨迹跟踪非线性控制器的设计

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978873

Yunsheng Fan, Yabo Cao, Yongsheng Zhao

引用次数: 1

On the performance of improved extended state observer based control for uncertain systems with measurement noises

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978458

Yuying Guo, Youmin Zhang

引用次数: 2

Active disturbance rejection power control for a floating wind turbine 浮式风力发电机组自抗扰功率控制

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978166

Lei Wang, Hu Zhang, Ming Cai, Zhiwei Luo

{"title":"Active disturbance rejection power control for a floating wind turbine","authors":"Lei Wang, Hu Zhang, Ming Cai, Zhiwei Luo","doi":"10.1109/CCDC.2017.7978166","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978166","url":null,"abstract":"In recent years, a feasible scheme has been provided by the floating wind turbine for wind power generation changing from the coastal sea to the deep sea. However, the stability of the floating wind turbine power output is seriously influenced by the uncertainty of the model and the external disturbances like wind and wave. Therefore, a power control method for floating wind turbine based on active disturbance rejection (ADR) is proposed in this paper. The purpose of the controller is to avoid increasing the platform load caused by the power regulation on the premise of guaranteeing the stability of power output. Firstly, in order to avoid the large overshoot of the system, the step input signal is transformed into a continuous and smooth signal by designing the tracking differentiator. Secondly, a nonlinear observer is designed to estimate and compensate the unknown time varying nonlinear and disturbances in the system online. Finally, the pitch control is realized by the conventional PD controller. The proposed control approach is tested and compared with NREL baseline controller using the NREL offshore 5MW wind turbine model mounted on a Barge floating platform run on FAST and Matlab/Simulink, operating in the above-rated wind speed condition. The simulation results show that the proposed control strategy has a better performance on floating wind turbine power control.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"116 1","pages":"559-564"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85696596","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: 3

Path-planning of automated guided vehicle based on improved Dijkstra algorithm 基于改进Dijkstra算法的自动引导车辆路径规划

2017 29th Chinese Control And Decision Conference (CCDC) Pub Date : 2017-05-28 DOI: 10.1109/CCDC.2017.7978471

Guo Qing, Zhang Zheng, Xu Yue

引用次数: 90