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Experimental Results for Pitch Damping in Speed and Wave for a Surface Effect Ship with Split Air Cushion 分离式气垫面效船航速和波浪俯仰阻尼试验结果
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206262
V. Hassani, Ø. Auestad, M. Nataletti
{"title":"Experimental Results for Pitch Damping in Speed and Wave for a Surface Effect Ship with Split Air Cushion","authors":"V. Hassani, Ø. Auestad, M. Nataletti","doi":"10.1109/CCTA41146.2020.9206262","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206262","url":null,"abstract":"This paper presents experimental results in damping the pitch motion on a Surface Effect Ship (SES) in high vessel speeds in presence of regular wave. The SES is a marine craft supported by pressurized air cushion. It consists of two side-hulls, a flexible rubber bow and reinforced stern seal. The air cushion is pressurized thanks to the lift fans blowing air into the cushion. Modern SES are equipped with controllable vent valves that allows adjusting the pressure of the air cushion. Air Split Cushion SES is one of the new design by Umoe Mandal AS where the main air cushion is divided to four smaller air chambers, each one equipped with a lift fan and controllable vent-valve. Using a derivative controller, this paper presents an active pitch control in waves. Controlling the pressure in each air cushion through adjusting the air leakage on the vent-valve, provides an effective pitch regulator that demonstrates, through simulations and experiments, reduction of up to 60 % of the pitch motion in waves and high speeds. The effectiveness of the proposed system is examined through experimental model testing of the vehicle in SINTEF Ocean's towing tank.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128668031","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
A Model-Based Approach for Correcting State of Charge Drift in Hybrid Electric Vehicles 基于模型的混合动力汽车电荷漂移状态校正方法
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206285
M. A. Xavier, Justin Hughes
{"title":"A Model-Based Approach for Correcting State of Charge Drift in Hybrid Electric Vehicles","authors":"M. A. Xavier, Justin Hughes","doi":"10.1109/CCTA41146.2020.9206285","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206285","url":null,"abstract":"Battery state of charge (SOC) is among the most important measures made by an hybrid electric vehicle battery management system since accurate SOC estimation can improve efficiency of power distribution, which can increase fuel economy, extend battery useful life, and ensure balanced pack operation. Existing methods that rely mostly on current integration are prone to sensor bias, causing the resulting estimate to drift away from the true value. This work describes an adaptive model-based method using an equivalent-circuit model augmented with a bias state that is able to correct SOC drift while driving and reduce SOC reset based on open-circuit voltage at key-on.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129303574","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
A Resilient Control Against Time-Delay Switch and Denial of Service Cyber Attacks on Load Frequency Control of Distributed Power Systems 分布式电力系统负荷频率控制中抗时延切换和拒绝服务网络攻击的弹性控制
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206282
S. Shahkar, K. Khorasani
{"title":"A Resilient Control Against Time-Delay Switch and Denial of Service Cyber Attacks on Load Frequency Control of Distributed Power Systems","authors":"S. Shahkar, K. Khorasani","doi":"10.1109/CCTA41146.2020.9206282","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206282","url":null,"abstract":"A time-delay switch (TDS) cyber attack is a deliberate attempt by malicious adversaries aiming at destabilizing a power system by impeding the communication signals to/from the centralized controller from/to the network sensors and generating stations that participate in the load frequency control (LFC). A TDS cyber attack can be targeting the sensing loops (transmitting network measurements to the centralized controller) or the control signals dispatched from the centralized controller to the governor valves of the generating stations. A resilient TDS control strategy is proposed and developed in this work that thwarts network instabilities that are caused by delays in the sensing loops, and control commands, and guarantees normal operation of the LFC mechanism. This will be achieved by augmenting the telemetered control commands with locally generated feedback control laws (i.e., “decentralized” control commands) taking measurements that are available and accessible at the power generating stations (locally) independent from all the telemetered signals to/from the centralized controller. Our objective is to devise a controller that is capable of circumventing all types of TDS and DoS (Denial of Service) cyber attacks as well as a broad class of False Data Injection (FDI) cyber attacks.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129691561","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
Data-driven Modeling and Predictive Control of Maximum Pressure Rise Rate in RCCI Engines RCCI发动机最大升压速率数据驱动建模与预测控制
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206358
L. N. A. Basina, Behrouz K. Irdmousa, J. Mohammadpour, H. Borhan, J. Naber, M. Shahbakhti
{"title":"Data-driven Modeling and Predictive Control of Maximum Pressure Rise Rate in RCCI Engines","authors":"L. N. A. Basina, Behrouz K. Irdmousa, J. Mohammadpour, H. Borhan, J. Naber, M. Shahbakhti","doi":"10.1109/CCTA41146.2020.9206358","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206358","url":null,"abstract":"Reactivity controlled compression ignition (RCCI) is a promising low temperature combustion (LTC) regime that offers lower nitrogen oxides (NOx), soot and particulate matter (PM) emissions along with higher combustion efficiency compared to conventional diesel engines. It is critical to control maximum pressure rise rate (MPRR) in RCCI engines in order to safely and efficiently operate at varying engine loads. In this paper, a data-driven modeling (DDM) approach using support vector machines (SVM) is adapted to develop a linear parameter-varying (LPV) representation of MPRR for RCCI combustion. This LPV representation is then used in the design of a model predictive controller (MPC) to control crank angle of 50% of fuel mass fraction burn (CA50) and indicated mean effective pressure (IMEP) while limiting the MPRR. The results show that the LPV-MPC control strategy can track CA50 and IMEP with mean tracking errors of 0.9 CAD and 4.7 kPa, respectively, while limiting the MPRR to the maximum allowable value of 5.8 bar/CAD.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"108 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113944893","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: 18
A Continuous-Time LPV Model for Battery State-of-health Estimation Using Real Vehicle Data 基于真实车辆数据的电池健康状态估计连续时间LPV模型
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206257
M. Andersson, M. Johansson, V. Klass
{"title":"A Continuous-Time LPV Model for Battery State-of-health Estimation Using Real Vehicle Data","authors":"M. Andersson, M. Johansson, V. Klass","doi":"10.1109/CCTA41146.2020.9206257","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206257","url":null,"abstract":"One approach for State-of-health estimation onboard electric vehicles is to train a data-driven virtual battery on operational data and use this model, rather than the actual battery, for performance tests. A temperature-dependent continuous-time output-error (OE) model is proposed as virtual battery and identified and validated on real operational data from electric buses. The proposed model is compared to discrete-time and parameter-invariant models and shows better performance on all data sets. In addition, the OE model structure is shown to be superior to a conventional Auto Regressive eXogenous (ARX) model for the purpose of modeling the battery voltage response. Finally, challenges regarding vehicle log data are identified and improvements to the model are suggested in order to capture observed un-modeled phenomena.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606399","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
Control of Nonlinear Cyber-Physical Systems under Attack Using Higher Order Sliding Mode Observer 基于高阶滑模观测器的非线性网络物理系统攻击控制
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206251
Shamila Nateghi, Y. Shtessel, R. Rajesh, S. S. Das
{"title":"Control of Nonlinear Cyber-Physical Systems under Attack Using Higher Order Sliding Mode Observer","authors":"Shamila Nateghi, Y. Shtessel, R. Rajesh, S. S. Das","doi":"10.1109/CCTA41146.2020.9206251","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206251","url":null,"abstract":"In this paper, resilient control of nonlinear cyber-physical systems under sensor and actuator attacks is investigated. At first, by using a low pass filter and the higher order sliding mode observer, the estimations of the attacks are computed. As soon as the attacks are reconstructed, the measurements are cleaned from the sensor attacks before being used in feedback control. It can stop the propagation of the sensor attacks into the system through the feedback control. Next, the control signal is cleaned from the actuator attacks. The efficacy of the proposed technique is illustrated via simulation results of a controlled electric power system whose measurements and actuators are corrupted by the cyber-attacks.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194285","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
Auto-Tuning of PID Controller with Phase Margin Specification for Digital Voltage-Mode Buck Converter 数字式电压型Buck变换器相位裕度PID控制器的自整定
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206355
Yan Yan, Ahmed Shehada, A. R. Beig, I. Boiko
{"title":"Auto-Tuning of PID Controller with Phase Margin Specification for Digital Voltage-Mode Buck Converter","authors":"Yan Yan, Ahmed Shehada, A. R. Beig, I. Boiko","doi":"10.1109/CCTA41146.2020.9206355","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206355","url":null,"abstract":"This paper presents an application of an auto-tuning method based on the modified relay-feedback test (MRFT) to a digitally-controlled voltage-mode DC-DC buck converter. PID controller parameters are calculated using the proposed tuning rules that guarantee a specified phase margin. The inputs to the PID tuning rules are the measured frequency and amplitude of the oscillations produced by the MRFT. It is mathematically proven in the paper that the specified phase margin is guaranteed - provided certain given constraints on the controller parameters are satisfied. Another contribution of this paper is the implementation of the MRFT on a DC-DC buck converter. The transient performance of the auto-tuned PID controller is experimentally tested, and is compared to the response of an optimal but non-auto-tuned controller. The results show good performance of the proposed method. Finally, some practical considerations regarding the application of the MRFT-based auto-tuning to switching converters are discussed.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121440670","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
Control Barrier Function-Based Persistent Coverage with Performance Guarantee and Application to Object Search Scenario 基于控制屏障函数的性能保证持久覆盖及其在对象搜索场景中的应用
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206273
Hayato Dan, J. Yamauchi, T. Hatanaka, M. Fujita
{"title":"Control Barrier Function-Based Persistent Coverage with Performance Guarantee and Application to Object Search Scenario","authors":"Hayato Dan, J. Yamauchi, T. Hatanaka, M. Fujita","doi":"10.1109/CCTA41146.2020.9206273","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206273","url":null,"abstract":"In this paper, we propose a performance guaranteed persistent coverage control for a network of drones equipped with onboard cameras based on control barrier functions (CBFs). We first present a constraint-based controller for persistent coverage by combining the authors' previous work and the concept of time-varying CBFs. The controller is then proved to guarantee γ-level coverage performance. The presented controller is then applied to an object search problem with four specifications: persistent coverage (if an object is not detected), keeping the object inside of the field of view (if detected), collision avoidance, and prevention of battery exhaustion. We then propose a constraint-based controller by integrating constraints associated with all of these specifications, and an algorithm to solve the problem. We finally demonstrate the presented algorithm through experiments on a testbed.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130070637","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: 9
Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems 基于约束近似动态规划的伺服电机系统数据驱动最优跟踪
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206315
A. Chakrabarty, C. Danielson, Yebin Wang
{"title":"Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems","authors":"A. Chakrabarty, C. Danielson, Yebin Wang","doi":"10.1109/CCTA41146.2020.9206315","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206315","url":null,"abstract":"We design real-time optimal tracking controllers for servomotor systems engaged in single-axis point-to-point positioning tasks. The design is challenging due to the presence of unmodeled dynamics, along with speed and acceleration constraints. As model-based optimal control design methods cannot be applied directly to this uncertain system, we propose a data-driven approximate dynamic programming approach to learn an optimal tracking controller that is constraint-enforcing. The potential of our proposed method is illustrated on a servomotor that positions the head of a laser drilling machine.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131113706","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
Evolutionary Tuning of Dual-Active Bridge Strictly Proper Discrete Robust Controller 双有源桥严格固有离散鲁棒控制器的进化整定
2020 IEEE Conference on Control Technology and Applications (CCTA) Pub Date : 2020-08-01 DOI: 10.1109/CCTA41146.2020.9206289
P. Feyel
{"title":"Evolutionary Tuning of Dual-Active Bridge Strictly Proper Discrete Robust Controller","authors":"P. Feyel","doi":"10.1109/CCTA41146.2020.9206289","DOIUrl":"https://doi.org/10.1109/CCTA41146.2020.9206289","url":null,"abstract":"This work deals with the DC-DC dual active bridge converter output voltage strictly proper discrete control problem against high-level complex requirements. Due to nonlinearities of the converter (obtained from GSSA modelling technics), the complexity of requirements and uncertainties of parameters, evolutionary optimization coupled with discrete H-infinity technics has been envisaged in this work. Because this optimization technic doesn't need the formulation of gradients of criterion to be optimized, it appears to be well adapted to the industrial framework where requirements are often non-linear and complex. A theorical background of the method is given in this paper and its efficiency is shown through the DAB converter robust output regulation problem.","PeriodicalId":241335,"journal":{"name":"2020 IEEE Conference on Control Technology and Applications (CCTA)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133591784","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
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