{"title":"Cuckoo search for determining Artificial Neural Network training parameters in modeling operating photovoltaic module temperature","authors":"S. Sulaiman, N. Zainol, Z. Othman, H. Zainuddin","doi":"10.1109/ICMIC.2014.7020770","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020770","url":null,"abstract":"Temperature of the photovoltaic (PV) module of a PV system is a significant factor in PV system operation. As the module temperature increases, the voltage of the module decreases. This leads to a reduction in the overall output power. As a result, the modeling of operating PV module temperature is important to investigate the climatic factors which affect the PV module temperature. This paper presents the modeling of operating PV module temperature using an Artificial Neural Network (ANN) with solar irradiance and ambient temperature set as the ANN inputs. Besides that, Cuckoo Search (CS) was employed to determine the optimal number of neurons of the ANN hidden layer, learning rate and momentum rate such that the Mean Absolute Percentage Error (MAPE) of the modeling is minimized. CS was found to outperform an Artificial Bee Colony (ABC) algorithm in optimizing the ANN parameters during training by producing lower MAPE.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131509201","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":"Region tracking control of an autonomous underwater vehicle without velocity measurement","authors":"Koena Mukherjee, I. Kar, R. Bhatt","doi":"10.1109/ICMIC.2014.7020754","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020754","url":null,"abstract":"In this paper, a region tracking controller has been proposed for an autonomous underwater vehicle (AUV) to ensure tracking within a constrained region. During tracking only position measurements are considered to be available. A pseudo velocity signal is generated using a filter to compensate for the velocity signal. A Lyapunov function has been utilized to prove the stability of the closed loop system. The controller ensures Uniformly Ultimately Bounded stability of the system states. Simulation results prove the effectiveness of the proposed controller.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130520486","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 Improved Bi-Level Integrated System Collaborative Optimization method for multidisciplinary design optimization","authors":"Hui Zhou, P. Jiang, X. Shao, Yongsheng Yi","doi":"10.1109/ICMIC.2014.7020782","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020782","url":null,"abstract":"Bi-Level Integrated System Collaborative Optimization (BLISCO) is a recently developed hierarchical multidisciplinary design optimization (MDO) methodology, owning good convergence property, accuracy and robustness. However, the subsystem objective functions in existing BLISCO methods may be mutually coupled again caused by the step of calculating partial derivatives of the original objective with respective to the shared coupled variables, and thus prevent the parallelization of the subsystem optimization. In this paper, the quasi-separable MDO problem form is introduced and an improved BLISCO method based on this form is proposed to tackle this problem. At last, one mathematical example and one engineering problem are used to test the feasibility, accuracy and efficiency of the improved BLISCO method.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116434614","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":"How should electromagnetic waves below 30MHz be handled?","authors":"A. Maeda, T. Kagoshima, Satoshi Ito, K. Ohizumi","doi":"10.1109/ICMIC.2014.7020724","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020724","url":null,"abstract":"In high-speed products, the physical and mechanical design can affect both Electromagnetic Compatibility (EMC) and Signal Integrity (SI). With board-level clock frequencies in the above 100MHz to 500MHz range, the first few harmonics are within the common communications bands of TV, FM radio, cell phone, and PCS. This means there is the very real possibility of electronic products interfering with communications unless their electromagnetic emissions are kept below acceptable levels. Therefore, EMC issues over 100MHz are of particularly high interest to the experts. However, what is the below 30MHz? This paper describes the analysis of characteristics of digital camera products below 30MHz using EMC simulations.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131166085","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":"A study on feedback linearization for kinetic kill vehicle attitude control system","authors":"Pinshu Lv, Yongji Wang, Lei Liu, Mao Su","doi":"10.1109/ICMIC.2014.7020757","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020757","url":null,"abstract":"When the kinetic kill vehicle (KKV) enters into terminal guidance, the characteristics of the KKV are nonlinearity, strong-coupling and MIMO. In order to solve these problems, the proportion differential (PD) control law is adopted to design controller for each channel, then the method of feedback linearization is introduced to develop the coupled system into independent subsystems. For the sake of the on/off signals for the attitude control thrusters, the pulse-width pulse-frequency (PWPF) modulator is utilized to adjust the output of the feedback linearization. The simulations and results illustrate the control strategies employed in this note are effective.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114599826","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":"Modelling on classification and retrieval strategy in map-reduce based IR system","authors":"Shen Gao, Kai Gao","doi":"10.1109/ICMIC.2014.7020773","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020773","url":null,"abstract":"Classification is essential to many web applications. Instead of the traditional segmentation as usual, this paper presents a novel non-segment classification approach, which can meet the requirement for big data classification & application. The novel algorithm removes the complicated time consuming segmentation. The experimental results and the analysis show the feasible of the approach. Based on the proposed approach, a map-reduce based distributed IR system is present.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"23 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132934150","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 identification of free-floating robots with flexible appendages and fuel sloshing","authors":"W. Rackl, R. Lampariello","doi":"10.1109/ICMIC.2014.7020740","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020740","url":null,"abstract":"In this paper we adressed the effects of flexibilities and liquid fuel sloshing on the on-orbit robotics-based dynamic parameter identification. For modelling the liquid fuel sloshing we combined the general free-floating robot dynamics with a mechanical pendulum equivalent model. For the dynamic parameter identification we extended our identification algorithm for rigid body systems to account for these two effects. The flexible and sloshing modes are excited only with the manipulator executing optimized trajectories. For the identification algorithm we make use of the robotic joint position and torque sensor data as well as of on board GNC sensor data. Numerical simulations showed that the two effects can have significant influence to the free-floating dynamics. Furthermore, we showed that the extended parameter identification algorithm improves the accuracy of the dynamic model.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126028044","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":"System identification of Active Magnetic Bearing for commissioning","authors":"S. A. Khader, Bin Liu, J. Sjöberg","doi":"10.1109/ICMIC.2014.7020767","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020767","url":null,"abstract":"System identification is a prerequisite for the operation of Active Magnetic Bearings (AMB). An identified model is required for synthesizing high performance model based controllers. However, from a commissioning point of view, certain parameters such as AMB stiffness constants and in the case of a flexible rotor, the flexible mode natural frequency (and damping ratio) of the rotor have to be explicitly identified. In this work, system identification of AMB is approached within the context of commissioning. A procedure for identification is developed and applied to experimental data from a prototype AMB system. A linear state-space model, along with the required parameters, is identified.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127885563","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":"A comparative study on design and tuning of integer and fractional order PID controller","authors":"Ravi Kumarjatoth, Ven D Kishore","doi":"10.1109/ICMIC.2014.7020745","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020745","url":null,"abstract":"Particle Swarm Optimization (PSO) technique offers optimal or sub-optimal solution to multi-dimensional objective functions. This paper provides the comparative study of PSO based tuning of integer and fractional order Proportional-Integral-Derivative (PID) controllers using SIMULINK which is a real time implementation. The tuning of parameters of fractional order and integer order PID controller is based on required specifications of peak-overshoot, rise time, settling time and steady-state error. The characteristic equation is minimized to obtain an optimal set of controller parameters. Results show that PSO based tuning of fractional order controller using SIMULINK is more effective when compared with tuning of integer order controller using PSO and conventional methods.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123958902","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":"Modeling and system identification of swing check valve flapper using polyvinylidene difluoride film sensor","authors":"Bharathkumar Hegde, N. S. Dinesh","doi":"10.1109/ICMIC.2014.7020729","DOIUrl":"https://doi.org/10.1109/ICMIC.2014.7020729","url":null,"abstract":"In the present work, an effort is made to demonstrate the displacement sensing capability of polyvinylidene difluoride film attached to a mechanical structure. A prototype of a swing check valve has been made and details of calibration of polyvinylidene difluoride film with a laser displacement measuring device are discussed. Deflection measurement of the valve flapper using polyvinylidene difluoride film is presented in detail. Model estimation of the swing valve flapper system is carried out using a system identification tool based on the experimental results. Frequency response of estimated model is compared with that of theoretical model.","PeriodicalId":405363,"journal":{"name":"Proceedings of 2014 International Conference on Modelling, Identification & Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132659053","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}