{"title":"Modeling and localized feedforward control of thermal deformations induced by a moving heat load","authors":"David van den Hurk, S. Weiland, Koos van Berkel","doi":"10.23919/SICEISCS.2018.8330172","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330172","url":null,"abstract":"This paper deals with the modeling and control of thermal induced deformations that are the result of a position dependent heat load. These deformations are modeled using a combination of spectral methods and FEM. For systems of this type, a distributed feedforward controller is proposed that acts only around the location of the heat load. The results of this controller show a significant reduction of thermal induced deformations of a flexible beam.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115776326","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":"On flexibility assessment of process control systems","authors":"Chuei-Tin Chang","doi":"10.23919/SICEISCS.2018.8330173","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330173","url":null,"abstract":"The dynamic flexibility index (FId) is a popular performance measure of the unsteady chemical processes. In computing this index for an open-loop system, it has always been assumed that the manipulated variables can be adjusted freely to compensate the instantaneous effects of random disturbances. To produce more practical assessments, it is necessary to impose additional constraints on these variables. Thus, the present study is aimed to derive the necessary conditions of the corresponding constrained optimization problem and also to develop the numerical algorithms needed to produce a suitable flexibility metric. Furthermore, since the maximum value of FId can be viewed as the upper bound for the closed-loop counterpart, a novel tuning strategy can also be devised to identify the PID controller parameters accordingly.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124646457","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":"Optimal sizing of photovoltaic systems for loss minimization in distribution network","authors":"S. Ikeda, A. Takeda, H. Ohmori","doi":"10.23919/SICEISCS.2018.8330174","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330174","url":null,"abstract":"The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inappropriate size leads to greater power losses due to variations in PV outputs and demand loads. Therefore, it is necessary to determine the optimal size of PVs. When one considers the various weather conditions and demand load profiles, the optimal PV sizing problem (OPSP) becomes a large-scale optimization that is difficult to solve. In this paper, to resolve this computational issue, we formulate the OPSP as a second-order cone programming model and propose a decomposition using the subgradient method for solving the partial Lagrangian dual problem. We implemented the proposed method on a 47-bus distribution feeder model, and the simulation results proved its viability.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124658607","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":"Controller design of DFIG-based WT by using DE-optimization techniques","authors":"O. Bharti, R. K. Saket, S. K. Nagar","doi":"10.23919/SICEISCS.2018.8330166","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330166","url":null,"abstract":"This manuscript depicts the controller design for doubly fed induction generator-based variable speed wind turbine by using evolutionary techniques. That is based on exploiting the two efficient swarm intelligence based evolutionary soft computational method, i.e., Differential Evolution Optimization (DEO) and Genetic Algorithm Optimization (GAO) to design the controller for low damping plant of the DFIG. Wind energy overview and DFIG based WT component with operating principle have been discussed appropriately in this paper. The controller design for DFIG based WT using DEO and GAO techniques along with its fitness functions are depicted. The responses of the DFIG system concerning terminal voltage, active-reactive power, and DC-Link voltage have slightly improved with DEO based controller in comparison with GAO based controller. Lastly, the obtained output is equated with a standard technique for performance enhancement of the DFIG based wind energy conversion system.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130460661","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 group control of the movable antennas for maximizing received signal level in the radar surveillance system","authors":"Yasuo Fujishima, S. Azuma","doi":"10.23919/SICEISCS.2018.8330148","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330148","url":null,"abstract":"We develop a simple radar surveillance system which is composed of a mobile transmitting antenna and a mobile receiving antenna. The system aims at detecting the intruder such as illegal drone. To this end, we propose here to optimize the locations of the two antennas maximizing the signal level of the reflected wave detected by the receiving antenna. We evaluated the effectiveness of our proposed method by some simulations.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114069427","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":"Automatic controller switching by model-based predictive control for a PZT stage","authors":"Y. Peng, F. Wang","doi":"10.23919/SICEISCS.2018.8330157","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330157","url":null,"abstract":"This paper applies model-based predictive control (MPC) for switching control of a precision piezoelectric transducer (PZT) stage. First, we apply robust loop-shaping techniques to design two controllers for the PZT stage: one has fast responses while the other is less oscillatory. Second, we apply MPC to combine the merits of these two controllers, i.e. to automatically switch the stage controllers so that the system responses can be as fast as the first controller and as smooth as the second one. Last, the designed controllers and switching mechanism are implemented and verified by simulation and experiments. Based on the results, the proposed algorithms are deemed effective in improving the performance of the PZT stage.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129264703","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":"Precision fuzzy sliding-mode tracking control with DNLRX model based friction feed-forward compensator","authors":"J. Shen, Chia-Suo Ye","doi":"10.23919/SICEISCS.2018.8330152","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330152","url":null,"abstract":"This study developed a precision tracking controller with friction compensation for precision stage. This controller includes two parts, the DNLRX (Dynamic NonLinear Regression with direct application of eXcitation) model based feed-forward controller and sliding-mode feedback controller with adaptive fuzzy uncertainty estimator. Experimental results are shown to demonstrate the efficiency of the proposed controller. The performance of the proposed controller also compared with the integral sliding-mode controller that has been reported recently. The experimental results show that the proposed controller can improve the tracking performance of the system one step further.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311214","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":"Synchronization by modified broadcast gossip algorithm in multi-agent system","authors":"Jeonggi Yang, Hyoung-woong Lee, Soohee Han","doi":"10.23919/SICEISCS.2018.8330149","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330149","url":null,"abstract":"This paper proposes a modified broadcast gossip algorithm that reaches synchronization of multi-agent systems. The broadcast gossip algorithm is used to reach a consensus on the scalar value of each agent in a static environment. This algorithm is suitable for the wireless multi agent system because it can reach a consensus by uniformly random broadcasting communication. In this paper, we modified the broadcast gossip algorithm to synchronize each system in a discrete time dynamic multi-agent system. The proposed algorithm reduces usage of network resources, and it has a robust property against topology change. In the simple case, we prove that this algorithm almost surely reaches a consensus on a dynamic system, and the expectation of consensus is the dynamics of average initial state. Simulation results show that the algorithm works in an oscillated system and that it can be applied to decentralized and topology-changed environment.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122934299","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":"Strong feasibility of the dual problem of linear matrix inequality for H∞ output feedback control problem","authors":"Hayato Waki, N. Sebe","doi":"10.23919/SICEISCS.2018.8330155","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330155","url":null,"abstract":"Strong feasibility (a.k.a. strict feasibility) of the dual problem of a given linear matrix inequality (LMI) is an important property to guarantee the existence of an optimal solution of the LMI problem. In particular, the LMI problem may not have any optimal solutions if the dual is not strongly feasible. This implies that the computed solutions by SDP solvers may be meaningless and useless for designing the controllers of H∞ output feedback control problems. The facial reduction is a tool to analyze and reduce such non-strongly feasible problems. We introduce the strong feasibility of the dual and facial reduction and provide the necessary and sufficient condition on the strong feasibility. Furthermore, we reveal that the condition is closely related to invariant zeros in the plant.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116128097","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":"Finite control set model predictive control for two level inverter with fixed switching frequency","authors":"P. Nikhil, K. Sonam, M. Monika, S. Wagh","doi":"10.23919/SICEISCS.2018.8330159","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330159","url":null,"abstract":"Conventional Finite Control Set Model Predictive Control (FCS-MPC) for power electronics has many open issues like weighting factor calculation, computation efficiency with increased horizon and variable switching frequency. A novel predictive control strategy for direct current control of two level voltage source inverter with fixed switching frequency (FSF) is proposed. The FCS-MPC-FSF controller fixes the switching frequency of output variable by applying hard constraints on number of commutations. The controller guarantees fixed number of commutations in the half of switching period in order to obtain constant switching frequency. The algorithm is proposed for FCS-MPC with prediction horizon N=1. Simulation results shows the FCS-MPC-FSF control strategy is feasible and has good transient and steady state performance as compared to FCS-MPC strategy.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122062171","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}