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2021 33rd Chinese Control and Decision Conference (CCDC)最新文献

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A Novel Fractional-order Discrete Grey Model with Initial Condition Optimization and Its Application 一种具有初始条件优化的分数阶离散灰色模型及其应用
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602788
Yitong Liu, Feng Pan, Dingyu Xue, Jiwei Nie
{"title":"A Novel Fractional-order Discrete Grey Model with Initial Condition Optimization and Its Application","authors":"Yitong Liu, Feng Pan, Dingyu Xue, Jiwei Nie","doi":"10.1109/CCDC52312.2021.9602788","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602788","url":null,"abstract":"Estimating the optimal order of fractional accumulating operator and the optimal initial value are two inherent problems in studies of fractional grey models. To find the optimal order of fractional accumulating operator, numerical iteration algorithm is applied in this paper. It is used in applications compared with the other two existing optimization algorithm (genetic algorithm and particle swarm optimization algorithm), which proves that the numerical iteration algorithm is simpler than the other two algorithms and has the same accuracy. At the same time, this paper proposes a numerical method to find the optimal initial condition and gives a proof. And based on methods mentioned previously, a novel fractional-order grey discrete model with initial value optimization is proposed. In order to test the new model, per capita power consumption in southern Jiangsu province is employed. Results show that the new fractional-order discrete grey model proposed in this paper is better than the competitive grey model in predicting and fitting periods.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126666068","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
Permanent Magnet Synchronous Motor Control of Electromechanical Actuator Based on Parameter Self-tuning Method 基于参数自整定方法的永磁同步电机机电致动器控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602740
Yunxiao Lian, Ying-jie Guo, Jiang Chang, Shuai Wu, Yong Zhou
{"title":"Permanent Magnet Synchronous Motor Control of Electromechanical Actuator Based on Parameter Self-tuning Method","authors":"Yunxiao Lian, Ying-jie Guo, Jiang Chang, Shuai Wu, Yong Zhou","doi":"10.1109/CCDC52312.2021.9602740","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602740","url":null,"abstract":"With the wide application of electromechanical actuator(EMA) system in aviation industry, permanent magnet synchronous motor, as a key component of EMA, has a good application prospect due to its unique advantages. In this paper, based on the analysis of relevant research at home and abroad, the control system of PMSM with EMA is designed, and the control system model is built with MATLAB and the simulation experiment is carried out. At the same time, parameter self-tuning and fuzzy control methods are used to optimize the performance of the control system. In order to test the performance of the EMA servo control system, this paper designs the EMA system performance test platform, completes the hardware and software design of the test bench, and carries out relevant tests to test the performance of the optimized EMA system. The experimental results show that the parameter self-tuning method used in this paper has a very significant performance improvement for PID control.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126896865","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: 1
Distributed Adaptive Fault-tolerant Formation Control of Uncertain Nonholonomic Mobile Robots 不确定非完整移动机器人的分布式自适应容错编队控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602289
Zhen Han, Wei Wang, Huijin Fan
{"title":"Distributed Adaptive Fault-tolerant Formation Control of Uncertain Nonholonomic Mobile Robots","authors":"Zhen Han, Wei Wang, Huijin Fan","doi":"10.1109/CCDC52312.2021.9602289","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602289","url":null,"abstract":"In this paper, the distributed adaptive fault-tolerant formation control problem is investigated for a group of nonholonomic mobile robots(NMRs). The communication flow is described by a digraph and it is supposed that only a subset of the NMRs has direct access to the common desired trajectory. Besides, the actuators of each NMR may suffer from intermittent type of actuator faults. To estimate the unknown trajectory information and topology parameters, distributed estimators are proposed based on the neighboring available information. In addition, estimators are also introduced to estimate the lower bounds of the actuator fault coefficients. Based on the estimation values and Young's inequality, nonlinear damping terms are designed. Then, a novel fault-tolerant control scheme is proposed by applying the adaptive backstepping technique. It is guaranteed that the formation errors will converge to an adjustable compact set and the control inputs are globally uniformly bounded. Simulation results validate the effectiveness of the proposed control scheme.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127004641","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
Predicting Water Quality Based On EEMD And LSTM Networks 基于EEMD和LSTM网络的水质预测
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602800
Dingyuan Zhang, R. Chang, Haisheng Wang, Yong Wang, Hao Wang, Shaoqing Chen
{"title":"Predicting Water Quality Based On EEMD And LSTM Networks","authors":"Dingyuan Zhang, R. Chang, Haisheng Wang, Yong Wang, Hao Wang, Shaoqing Chen","doi":"10.1109/CCDC52312.2021.9602800","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602800","url":null,"abstract":"Water is crucial for all types of life. The security of water quality genuinely influences human wellbeing, fishery economy and agrarian. Considering the characteristics of water quality are dynamic, nonlinear and complex, a novel water quality prediction combined model based on Ensemble Empirical Mode Decomposition (EEMD) and Long Short-Term Memory (LSTM) network is proposed in this paper. In the pactical work, the proposed model was trained by using the Yangtze River water quality history data which was measured daily from September 2009 to November 2017. The dataset of water quality was pretreated by ensemble empirical mode decomposition. For several imf subsequences, a LSTM submodel is established for each subsequence, and the prediction result of each submodel was added to compose the final prediction result. Finally, to obatain the illustration and verification, the method is compared with other traditional network models on practical experiments. The experimental results demonstrated that the proposed model has the best performance.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127010336","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
Stabilization of a class of Takagi-Sugeno fuzzy fractional order systems based on fuzzy controller switching 一类基于模糊控制器切换的Takagi-Sugeno模糊分数阶系统的镇定
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601653
Zhe Wang, Feng Pan, Dingyu Xue, Jiwei Nie
{"title":"Stabilization of a class of Takagi-Sugeno fuzzy fractional order systems based on fuzzy controller switching","authors":"Zhe Wang, Feng Pan, Dingyu Xue, Jiwei Nie","doi":"10.1109/CCDC52312.2021.9601653","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601653","url":null,"abstract":"In this paper, the stability of fuzzy fractional order systems (FOSs)is discussed. Firstly, a fuzzy model of FOSs with switching controllers is presented. Then, the stability criteria of fuzzy FOS with order 0 < a < 1 and 1 < a < 2, respectively, are given. The stability conditions are composed of bilinear matrix inequalities (BMIs) and can be converted to linear matrix inequalities (LMIs). Moreover, the stabilizing switching laws of the state-dependent form are designed. Finally, two examples are given to verify the effectiveness of the proposed results.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129075281","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
Research on Operation Mode and Control Strategy of Plug-in Hybrid Powertrain System 插电式混合动力系统运行模式及控制策略研究
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602644
Z. Zhao, Yushan Li, B. Guo, Yihong Zheng, Yongyou Zhou
{"title":"Research on Operation Mode and Control Strategy of Plug-in Hybrid Powertrain System","authors":"Z. Zhao, Yushan Li, B. Guo, Yihong Zheng, Yongyou Zhou","doi":"10.1109/CCDC52312.2021.9602644","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602644","url":null,"abstract":"As the advantage of good fuel efficiency, simple structure and easy modularization, the single motor P2 hybrid powertrain has been widely used by major automobile manufacturers. However, because the hybrid system has only one motor, the control strategy in the vehicle operating process is complex, which is also recognized as a difficult point in the industry. Based on a P2 plug-in hybrid car, the configuration, operation mode and control strategy of the hybrid powertrain are discussed in detail. The important module of the P2 hybrid powertrain configuration is CCM (Clutch Coupling with Motor) module, engine engages or disengages the DCT (Dual Clutch Transmission) by the clutch, with help of the configuration, there are six operation modes were carried out, such as engine idle stop, pure electric drive, engine drive & charging battery, only engine drive, boost, and regenerative break. At the same time, the two kinds of powertrain system (AER (All Electric Range) and Blended) were discussed for PHEV (Plug-in Hybrid Electric Vehicle), according to requirement, the AER powertrain system was adopted in this paper. Based on NEDC driving cycle, the control strategy was studied, also the operation mode and performance of PHEV car were verified, from the results, the expected development goal was achieved.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129124772","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: 1
Data processing method of 3D motion capture based on bone constraint 基于骨约束的三维运动捕捉数据处理方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601569
Pengyue Dong, Yu Zhang, Zihao Zhang
{"title":"Data processing method of 3D motion capture based on bone constraint","authors":"Pengyue Dong, Yu Zhang, Zihao Zhang","doi":"10.1109/CCDC52312.2021.9601569","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601569","url":null,"abstract":"In recent years, human 3D motion technology has been widely used in computer games, film production and animation industry. However, the data collected by professional motion capture equipment inevitably has noise and outliers. To solve this problem, this paper proposes a method of 3D motion capture data processing based on bone constraints. Firstly, the original data captured by the equipment is transformed into joint angle sequence by inverse kinematics method; secondly, the discrete joint angles are processed by Gaussian filtering; secondly, the human joint sequence is reconstructed by forward kinematics combined with the characteristics of human skeleton; finally, the experiment shows that the path of the joint point sequence processed by this method is significantly lower than that of the original data. The experimental results verify the feasibility and accuracy of the method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130657782","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
Fixed-Time Extended Disturbance Observer-Based Robust Control for Quadrotor Vehicle 基于定时扩展扰动观测器的四旋翼飞行器鲁棒控制
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601923
Mati Ullah, Zhao Chunhui, Hamid Maqsood
{"title":"Fixed-Time Extended Disturbance Observer-Based Robust Control for Quadrotor Vehicle","authors":"Mati Ullah, Zhao Chunhui, Hamid Maqsood","doi":"10.1109/CCDC52312.2021.9601923","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601923","url":null,"abstract":"This paper proposes a novel output feedback robust tracking control of a quadrotor unmanned aerial vehicle (UAV). Since quadrotor UAVs encounters enormous and different types of exogenous disturbances such as wind during flight operation, the impact of such disturbances can degrades the system stability. To attenuate the influence of these disturbances fed into the system, a fixed-time extended disturbance observer (FTEDO) is developed that can accurately estimates the lumped disturbances based on which a sliding manifold is constructed and updated. The proposed control scheme also assure the tracking error converge to zero in fixed-time. A comparison of the proposed FTEDO is carried out with the conventional nonlinear disturbance observer (NDO) to affirm its enhanced disturbance estimation performance. The simulation results of the quadrotor with exogenous disturbances prove the robustness, efficacy and fast convergence rate of the proposed control scheme.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123228657","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: 4
A Modified Vehicle Following Control System on the Curved Road Based on Model Predictive Control 基于模型预测控制的改进型弯道车辆跟随控制系统
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602682
Zongwei Cui, Xiaotian Xia, Xiaofei Pei
{"title":"A Modified Vehicle Following Control System on the Curved Road Based on Model Predictive Control","authors":"Zongwei Cui, Xiaotian Xia, Xiaofei Pei","doi":"10.1109/CCDC52312.2021.9602682","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602682","url":null,"abstract":"In this paper, a decoupled control framework is developed to fulfill the automated vehicle following. Human driver's habits on curved road are incorporated into controller. Firstly, the overall structure of vehicle following control system is given. Secondly, in the upper-level controller the motion relation of vehicle longitudinal is set up by Preview G-Vectoring Control (PGVC). Hence, the acceleration of host vehicle is adjusted according to the variety of road contour during vehicle-following. Then, an acceleration-predictor of preceding vehicle in prediction horizon is also incorporated into MPC structure. Moreover, a practical lower-level controller for acceleration follow is proposed respectively. Finally, simulation results demonstrate the control framework has good performance of vehicle-following ability on the curved road, and its velocity characteristic is more similar with human's driving behavior.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123371588","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: 1
Research on Carbon Monoxide Content Prediction Based on Improved Particle Swarm Optimization SVM 基于改进粒子群优化支持向量机的一氧化碳含量预测研究
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/ccdc52312.2021.9602838
Jianyun Ni, Mingyang Zhao, Yong Wang
{"title":"Research on Carbon Monoxide Content Prediction Based on Improved Particle Swarm Optimization SVM","authors":"Jianyun Ni, Mingyang Zhao, Yong Wang","doi":"10.1109/ccdc52312.2021.9602838","DOIUrl":"https://doi.org/10.1109/ccdc52312.2021.9602838","url":null,"abstract":"In the petroleum processing industry, the carbon monoxide (CO) content of the flue gas emitted by the heating furnace is predicted according to the various gases that will be generated in the on-site environment of the heating furnace. Therefore, a Particle Swarm Optimization Support Vector Machine(PSO-SVM) model is proposed for the prediction of carbon monoxide content. When optimizing the parameters of SVM for particle swarm optimization, it is easy to fall into the problem of local optimization and premature convergence. An improved particle swarm optimization(IPSO) algorithm is proposed: in the optimization process, adding a passive aggregation term to improve the speed formula of the PSO algorithm can make the particles reach the global optimal state. Finally, the carbon monoxide content is predicted by the improved PSO optimization support vector machine. The experimental results show that the improved particle swarm algorithm is used to fully explore the potential of the SVM model, and compared with the experimental results of other prediction models, it is proved that the model has the advantages of high accuracy.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123469941","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: 1
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