{"title":"Improved Sliding-Mode Disturbance Observer for Nonlinear System","authors":"Kangyi Zhan, Yongji Wang, Lei Liu","doi":"10.1109/ICMIC.2018.8529954","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529954","url":null,"abstract":"The uncertainty of the model and the external disturbance can badly influence the control effect. At present, many scholars have proposed different kinds of disturbance observers based on the various theories for the nonlinear system. In this paper, the performance of a class of disturbance observers for nonlinear system is analyzed, and an improved method is proposed for this type of observers, and the stability of the improved observer is proved too. Finally, the performance of the improved observer is compared with the old one by simulation. According to the simulation results, the improved observer has higher estimation precision and stronger robustness.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129882381","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}
{"title":"Architecture Analysis and Simulation Research of Distributed Generation for Flexible Distribution Network","authors":"Zhukui Tan, Yutao Xu, Zhuo Chen, Pengzhi Tian, Yong Xiao, Wei Chen, Chenghui Lin","doi":"10.1109/ICMIC.2018.8529981","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529981","url":null,"abstract":"Flexible distribution network, which can accept distributed power, is a key feature of smart distribution network in the future. Firstly, the basic structure of distribution system with soft open point (SOP) is established in this paper. PV, fan and energy storage are connected to the AC or DC area of distribution network according to the characteristics of each distributed power. Then, this paper do researches on the mathematical model of SOP and its main operational control strategy. Finally, in this paper, the simulation experiments of feeder output optimal equalization, uninterruptible power supply and energy scheduler for flexible distribution network are carried out by the flexible switching of control mode and operational strategy of converter. The result of simulation verifies that the system structure of AC and DC flexible distribution network with SOP has the advantages of receiving distributed power and flexible control.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129851203","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}
{"title":"Application of Teaching Learning Based Optimization in Long Term Optimal Reservoir Operation","authors":"You Wenxia, Qiu Tianyi, L. Wenwu, Zhang Zhi","doi":"10.1109/ICMIC.2018.8529890","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529890","url":null,"abstract":"Long term optimal reservoir operation is a nonlinear optimization problem. This paper adopts Teaching Learning Based Optimization (TLBO) to solve the Long term scheduling for reservoirs. Firstly, the basic test function is used to verify that the TLBO algorithm has high accuracy. Then the TLBO algorithm is applied to the Long term optimal reservoir operation model and the competitive selection and semi-feasible domain are introduced to deal with the constraint conditions. Comparing the TLBO algorithm with the genetic algorithm and the dynamic programming algorithm, solving the available TLBO algorithm has the advantages of high calculation accuracy, short computation time.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122883847","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}
{"title":"An Iterative Algorithm for Dual-Frequency Signals With Unknown Frequencies and Amplitudes","authors":"Siyu Liu, Guanglei Song, F. Ding","doi":"10.1109/ICMIC.2018.8529908","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529908","url":null,"abstract":"A new iterative parameter estimation algorithm is proposed to estimate all parameters of dual-frequency signals including the unknown amplitudes, frequencies and phases. The observation data of the signals are disturbed by stochastic noise. The key is that the signal model is a highly nonlinear function in regard to the frequencies and phases. A gradient-based iterative algorithm is presented to compare the algorithm performance. The performance of the proposed method is tested by simulation.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127009294","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}
Jianhua Zhang, H. Zhang, Yang Li, F. Gao, Xueli Wu, Fengyu Zhu
{"title":"Ground Penetrating Radar Signal Processing Based on Morphological Component Analysis","authors":"Jianhua Zhang, H. Zhang, Yang Li, F. Gao, Xueli Wu, Fengyu Zhu","doi":"10.1109/ICMIC.2018.8529936","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529936","url":null,"abstract":"Ground-penetrating radar (GPR) is one of the most popular underground detection devices and has a wide range of applications. However, when using GPR to detect targets, since targets are located near the surface, the influence of clutter on target detection is very serious. Especially in some complex environments, targets may be completely covered by clutter. Thus, clutter reduction is the primary task. Singular value decomposition (SVD), principal component analysis (PCA) and independent component analysis (ICA) are commonly used for target detection. In this paper, a method based on morphological component analysis (MCA) is adopted, and a decomposition model is proposed to distinguish between target and clutter. Finally, it is proved by visual simulation that this method is superior to other methods in removing clutter.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"15 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132500","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}
{"title":"Parameter Estimation of Piezoelectric Transducers Circuit Model Using GA-PSO Algorithm","authors":"Tao Liu, Yongyong Duan, Zongmei Bai","doi":"10.1109/ICMIC.2018.8529949","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529949","url":null,"abstract":"The parameters estimation problem for the equivalent admittance circuit model of piezoelectric transducers with high non-linearity near the resonance frequency is studied. A novel Genetic-Particle Swarm Optimization (GA-PSO) algorithm with cascade structure is proposed. The variance of fitness value of population as a criterion is given to evaluate the population convergence, and the population convergence is used as an adaptive switching strategy of Particle Swarm Optimization(PSO) to Genetic Algorithm(GA). The proposed GA-PSO method can also be used for estimating parameters of others. Simulation results are provided to demonstrate the feasibility. Comparison of the proposed GA-PSO method with the existing method is given, which shows that the GA-PSO alaorithm is more efficient.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117324134","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}
Xi Yu, Yonglin Yang, Haigang Ding, Yunfei Wang, Chaowen Lin
{"title":"A New Scheme for Dynamic Response Improvement of Variable Speed Pump Control Systems: Leaking Valve Control","authors":"Xi Yu, Yonglin Yang, Haigang Ding, Yunfei Wang, Chaowen Lin","doi":"10.1109/ICMIC.2018.8529862","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529862","url":null,"abstract":"A new control scheme: leaking valve control (LVC) is developed, in order to improve the dynamic performance of variable speed pump control (VSPC) systems. In the control scheme, a control valve operating at leaking status, to regulate the system flow with a variable speed pump. In the paper, the LVC system is designed, and its mathematical models are built, system parameters and control performances are analyzed with subsequent experimental verification. Results show that, after introducing the valve control, the hydraulic natural frequency does not change, but the total leakage coefficient and damping ratio increases significantly and vary widely with operating points; LVC respond faster than VSPC because the control valve could rapid regulate flow, but LVC is applicable to a small range of speed regulation for keeping relatively high system efficiencies. Therefore, the LVC might enrich the control approaches of current hydraulic systems.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122890613","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}
Honglei Wang, Quanmin Zhu, D. Zhou, B. Dahhou, Xiangping Chen, Ze-tao Li, Shaoyuan Li, Adnan Aldemir, A. Azar, Chenguang Yang, Defeng Wu, Dongya Zhao, F. Mnif
{"title":"The 10th International Conference on Modelling, Identification and Control","authors":"Honglei Wang, Quanmin Zhu, D. Zhou, B. Dahhou, Xiangping Chen, Ze-tao Li, Shaoyuan Li, Adnan Aldemir, A. Azar, Chenguang Yang, Defeng Wu, Dongya Zhao, F. Mnif","doi":"10.1109/icmic.2018.8529886","DOIUrl":"https://doi.org/10.1109/icmic.2018.8529886","url":null,"abstract":"Program","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130114598","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}
Fanwei Meng, C. Han, X. Dong, A. P. Pang, S. Zhang
{"title":"Coprime Factor Perturbation in Robust Control for Lightly Damped System","authors":"Fanwei Meng, C. Han, X. Dong, A. P. Pang, S. Zhang","doi":"10.1109/ICMIC.2018.8529866","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529866","url":null,"abstract":"The $mathrm{H}_{infty}$ loop shaping method based on coprime factorization is widely used in the design of flexible systems. In the paper $mathrm{H}_{infty}$ loop shaping design for lightly damped system shows coprime factor perturbations can be used to represent parameter perturbation in the robust design, but it also reduces the robustness of the design. So coprime factor perturbation is not effective like recognized, its use is limited. The paper detailed analysis of coprime factor perturbation, with a lightly damped system parameter perturbation designed to illustrate the robustness of prime factorization problem occurs in use.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125401581","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}
Rui Wang, Lei Gao, Chengrui Bai, Chengjie Wang, Xianyu Wang, Hui Sun
{"title":"Mechanical Analyses of a Modified Lorenz System","authors":"Rui Wang, Lei Gao, Chengrui Bai, Chengjie Wang, Xianyu Wang, Hui Sun","doi":"10.1109/ICMIC.2018.8529922","DOIUrl":"https://doi.org/10.1109/ICMIC.2018.8529922","url":null,"abstract":"The paper analyzes the bifurcation diagram of a modified Lorenz system and presents a relationship between this system and Kolmogorov system. The transformation procedure of the Kolmogorov type of the chaotic system is illustrated in detail according to the bifurcation diagram through the system parameter change. Furthermore, the corresponding mechanics analyses about different modes under different torques are discussed, such as inertial, internal, dissipative torques and the combination. The conversions of energy analyses are also studied including Hamiltonian, kinetic and potential energies in order to verify the energy effect on the system dynamics.","PeriodicalId":262938,"journal":{"name":"2018 10th International Conference on Modelling, Identification and Control (ICMIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127886568","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}