Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915106
B. Ng, H. Hesse, R. Palacios, E. Kerrigan, J. Graham
This paper presents a computationally efficient aeroservoelastic modeling approach for dynamic load alleviation in large wind turbines with trailing-edge aerodynamic control surfaces. The aeroelastic model is expressed directly in a state-space formulation and trailing-edge flaps are modeled directly in the unsteady aerodynamics. The linear model of a single rotating blade is used to design a Linear-Quadratic-Gaussian regulator for minimizing the root-bending moments, which is shown to provide load reductions of about 20% in closed-loop on the full wind turbine non-linear aeroelastic model.
{"title":"Efficient aeroservoelastic modeling and control using trailing-edge flaps of wind turbines","authors":"B. Ng, H. Hesse, R. Palacios, E. Kerrigan, J. Graham","doi":"10.1109/CONTROL.2014.6915106","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915106","url":null,"abstract":"This paper presents a computationally efficient aeroservoelastic modeling approach for dynamic load alleviation in large wind turbines with trailing-edge aerodynamic control surfaces. The aeroelastic model is expressed directly in a state-space formulation and trailing-edge flaps are modeled directly in the unsteady aerodynamics. The linear model of a single rotating blade is used to design a Linear-Quadratic-Gaussian regulator for minimizing the root-bending moments, which is shown to provide load reductions of about 20% in closed-loop on the full wind turbine non-linear aeroelastic model.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134354968","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915121
Ti-Chung Lee
This paper investigates attractivity based on a new persistently exciting (PE) condition. Under an integral condition, the proposed PE condition is shown to be a sufficient condition to guarantee attractivity. Then, it is applied to derive a generalized Barbalat lemma. Based on this result, several generalizations of Barbalat lemma are then proposed. In particular, the standard assumption that requires uniform continuity on the positive real axis can be relaxed by admitting countable discontinuous points. Moreover, the integrand of the assumed integral condition can be a composition of a targeted function and a time-varying function. Aninteresting example is provided to illustrate the usefulness of the proposed results.
{"title":"A generalized Barbalat lemma based on a persistently exciting condition","authors":"Ti-Chung Lee","doi":"10.1109/CONTROL.2014.6915121","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915121","url":null,"abstract":"This paper investigates attractivity based on a new persistently exciting (PE) condition. Under an integral condition, the proposed PE condition is shown to be a sufficient condition to guarantee attractivity. Then, it is applied to derive a generalized Barbalat lemma. Based on this result, several generalizations of Barbalat lemma are then proposed. In particular, the standard assumption that requires uniform continuity on the positive real axis can be relaxed by admitting countable discontinuous points. Moreover, the integrand of the assumed integral condition can be a composition of a targeted function and a time-varying function. Aninteresting example is provided to illustrate the usefulness of the proposed results.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132111811","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915198
J. Rossiter
It is important that academic staff have a good awareness of the preparedness of their classes for new learning. This papers shows how clicker technology has been used both to help staff learn about student preparedness but also to encourage better engagement with learning of control related topics. Some of the data produced will be of generic interest to the community as it gives hard evidence of what is often suspected anecdotally.
{"title":"Using clickers in lectures to help identify and teach the control topics students find difficult","authors":"J. Rossiter","doi":"10.1109/CONTROL.2014.6915198","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915198","url":null,"abstract":"It is important that academic staff have a good awareness of the preparedness of their classes for new learning. This papers shows how clicker technology has been used both to help staff learn about student preparedness but also to encourage better engagement with learning of control related topics. Some of the data produced will be of generic interest to the community as it gives hard evidence of what is often suspected anecdotally.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"24 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114027959","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915187
Xiaoran Feng, R. Patton, Zhihuo Wang
This paper proposes an approach to fault tolerant control (FTC) of a wind turbine subject to sensor faults. Both analytical and hardware redundancies are utilized in this approach. A residual generator based on a Takagi-Sugeno (T-S) fuzzy observer is proposed as the fault detection and isolation (FDI) unit. A T-S fuzzy observer design method via online eigenvalue assignment is proposed. It is shown that single residual can be utilized to identify different sensor faults by analyzing the characteristics of the residual. Model predictive control (MPC) based on T-S fuzzy modeling is proposed as the wind turbine controller to take into account the turbine system nonlinearity and physical constraints of the turbine actuators.
{"title":"Sensor fault tolerant control of a wind turbine via Takagi-Sugeno fuzzy observer and model predictive control","authors":"Xiaoran Feng, R. Patton, Zhihuo Wang","doi":"10.1109/CONTROL.2014.6915187","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915187","url":null,"abstract":"This paper proposes an approach to fault tolerant control (FTC) of a wind turbine subject to sensor faults. Both analytical and hardware redundancies are utilized in this approach. A residual generator based on a Takagi-Sugeno (T-S) fuzzy observer is proposed as the fault detection and isolation (FDI) unit. A T-S fuzzy observer design method via online eigenvalue assignment is proposed. It is shown that single residual can be utilized to identify different sensor faults by analyzing the characteristics of the residual. Model predictive control (MPC) based on T-S fuzzy modeling is proposed as the wind turbine controller to take into account the turbine system nonlinearity and physical constraints of the turbine actuators.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114845994","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915143
A. Morgans, J. Dahan, T. Flinois
Four flows over a backward-facing step are considered. These exhibit a range of flow physics, and are of relevance to the flow over the rear of “squareback” road vehicles. Computational flow simulations are used as a test-bed to devise a linear feedback control strategy which achieves a mean base pressure recovery (equivalent to reducing pressure drag) for all four flows. The strategy is based on the premise that reducing pressure drag fluctuations improves mean pressure recovery. Thus the feedback control objective is to attenuate base pressure force fluctuations. The response of each of the flows to actuation is characterised via harmonic forcing system identification. Feedback control is found to successfully achieve a mean pressure recovery for all four of the flows, and is particularly effective for 2-D geometries (with either laminar or turbulent separation). The approach uses only body-mounted sensing and actuation and could be applied experimentally.
{"title":"Feedback control for reducing the pressure drag of bluff bodies terminated by a backward-facing step","authors":"A. Morgans, J. Dahan, T. Flinois","doi":"10.1109/CONTROL.2014.6915143","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915143","url":null,"abstract":"Four flows over a backward-facing step are considered. These exhibit a range of flow physics, and are of relevance to the flow over the rear of “squareback” road vehicles. Computational flow simulations are used as a test-bed to devise a linear feedback control strategy which achieves a mean base pressure recovery (equivalent to reducing pressure drag) for all four flows. The strategy is based on the premise that reducing pressure drag fluctuations improves mean pressure recovery. Thus the feedback control objective is to attenuate base pressure force fluctuations. The response of each of the flows to actuation is characterised via harmonic forcing system identification. Feedback control is found to successfully achieve a mean pressure recovery for all four of the flows, and is particularly effective for 2-D geometries (with either laminar or turbulent separation). The approach uses only body-mounted sensing and actuation and could be applied experimentally.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114318292","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915135
KinYip Chan, A. Ordys, O. Duran, K. Volkov, Jiamei Deng
This paper proposes a neuro-fuzzy model to estimate an engine fuel composition from the residual gas information. While fuels available from fuel producers are categorized by names, i.e. gasoline or diesel, the exact chemical composition in terms of number of hydrocarbon atoms remains unknown to the user. Meanwhile, the engine combustion performance depends on the fuel composition. This study researches advanced engine control methodologies by identifying fuel composition from the exhaust gases to improve the engine performance while reducing the emissions. Fuel composition can be estimated by the inverse of engine combustion process model; In order to achieve this, the development of the suitable artificial intelligence system identification was required. Here, a computer based engine model which uses Adaptive Neuro-Fuzzy Interface System (ANFIS) to identify the fuel composition is used. The residual composition contains the levels of Carbon Dioxide (CO2) Oxygen (O) Carbon Monoxide (CO) and Nitric Oxide (NO). The model is developed to estimate the Hydrocarbon level of the original fuel. Results show that ANFIS control can reasonably distinguish the mixtures of three given fuel compositions, namely, pure Isooctane, Isooctane-Methanol and Isooctane-Ethanol.
{"title":"Adaptive neuro-fuzzy method to estimate virtual SI engine fuel composition using residual gas parameters","authors":"KinYip Chan, A. Ordys, O. Duran, K. Volkov, Jiamei Deng","doi":"10.1109/CONTROL.2014.6915135","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915135","url":null,"abstract":"This paper proposes a neuro-fuzzy model to estimate an engine fuel composition from the residual gas information. While fuels available from fuel producers are categorized by names, i.e. gasoline or diesel, the exact chemical composition in terms of number of hydrocarbon atoms remains unknown to the user. Meanwhile, the engine combustion performance depends on the fuel composition. This study researches advanced engine control methodologies by identifying fuel composition from the exhaust gases to improve the engine performance while reducing the emissions. Fuel composition can be estimated by the inverse of engine combustion process model; In order to achieve this, the development of the suitable artificial intelligence system identification was required. Here, a computer based engine model which uses Adaptive Neuro-Fuzzy Interface System (ANFIS) to identify the fuel composition is used. The residual composition contains the levels of Carbon Dioxide (CO2) Oxygen (O) Carbon Monoxide (CO) and Nitric Oxide (NO). The model is developed to estimate the Hydrocarbon level of the original fuel. Results show that ANFIS control can reasonably distinguish the mixtures of three given fuel compositions, namely, pure Isooctane, Isooctane-Methanol and Isooctane-Ethanol.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338078","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915193
Shuhui Wen, Zhiyuan Ma, Shuhuan Wen, Yongsheng Zhao, Jiantao Yao
Direct and inverse kinematics are commonly implemented to determine main parameters affecting humanoid robots behavior and specify the reliable method to control motion and preserve stability. This paper presents a direct kinematics method for humanoid NAO model. The approach is analytical based on classic methods like Denavit-Hartenberg convention which are employed to derive forward kinematics equations. Firstly, it analyses the upper limb topology of NAO model and establishes the kinematics models. Secondly, the homogeneous transformation matrix of upper limb joints of the robot is derived in this paper. Finally, the simulations are given by using the Robotic Toolbox from MATLAB software to test the derivation.
{"title":"The study of NAO robot arm based on direct kinematics by using D-H method","authors":"Shuhui Wen, Zhiyuan Ma, Shuhuan Wen, Yongsheng Zhao, Jiantao Yao","doi":"10.1109/CONTROL.2014.6915193","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915193","url":null,"abstract":"Direct and inverse kinematics are commonly implemented to determine main parameters affecting humanoid robots behavior and specify the reliable method to control motion and preserve stability. This paper presents a direct kinematics method for humanoid NAO model. The approach is analytical based on classic methods like Denavit-Hartenberg convention which are employed to derive forward kinematics equations. Firstly, it analyses the upper limb topology of NAO model and establishes the kinematics models. Secondly, the homogeneous transformation matrix of upper limb joints of the robot is derived in this paper. Finally, the simulations are given by using the Robotic Toolbox from MATLAB software to test the derivation.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736974","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915214
F. Asadi, Arthur G. Richards
Automated and more efficient methods for resolution of conflicts between aircraft are necessary to support the sustained growth of air traffic. Distributed optimization is one of the proposed conflict resolution methods which can improve efficiency; but, sometimes it imposes an unequal burden on involved agents. This paper presents a method for conflict resolution by cooperation between agents which can lead to a fair contribution of all agents in resolving the collision.
{"title":"Cooperative conflict resolution by velocity obstacle method","authors":"F. Asadi, Arthur G. Richards","doi":"10.1109/CONTROL.2014.6915214","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915214","url":null,"abstract":"Automated and more efficient methods for resolution of conflicts between aircraft are necessary to support the sustained growth of air traffic. Distributed optimization is one of the proposed conflict resolution methods which can improve efficiency; but, sometimes it imposes an unequal burden on involved agents. This paper presents a method for conflict resolution by cooperation between agents which can lead to a fair contribution of all agents in resolving the collision.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133917969","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915185
F. Shi, R. Patton
Motived by wind turbine pitch actuator component fault estimation problem, a robust adaptive fault estimation procedure is proposed in this paper. The estimation of a component fault which is a multiplicative fault, is not as straightforward a problem as the estimation of an additive fault. The proposed fault estimator is based on an adaptive observer structure where the observer gain and adaptive law are computed using linear matrix inequality (LMI) and linear parameter varying (LPV) techniques. Both wind turbulence and sensor noise are considered as external disturbances. The simulation results show the usefulness and effectiveness of the proposed approach.
{"title":"A robust adaptive approach to wind turbine pitch actuator component fault estimation","authors":"F. Shi, R. Patton","doi":"10.1109/CONTROL.2014.6915185","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915185","url":null,"abstract":"Motived by wind turbine pitch actuator component fault estimation problem, a robust adaptive fault estimation procedure is proposed in this paper. The estimation of a component fault which is a multiplicative fault, is not as straightforward a problem as the estimation of an additive fault. The proposed fault estimator is based on an adaptive observer structure where the observer gain and adaptive law are computed using linear matrix inequality (LMI) and linear parameter varying (LPV) techniques. Both wind turbulence and sensor noise are considered as external disturbances. The simulation results show the usefulness and effectiveness of the proposed approach.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153352","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}
Pub Date : 2014-07-09DOI: 10.1109/CONTROL.2014.6915124
Emre Kemer, E. Prempain
This paper presents the design of switched feedback controllers for load factor tracking. The controller consists of a discrete set of state feedback gains which are switched according to some system states such as Mach number and altitude. Attention is restricted to the design of a longitudinal controller for the ADMIRE fighter benchmark model. Each state feedback gain is designed to track the load factor, nz, where integral action is added to enforce zero steady state error. The stability of the overall closed-loop system is established thanks to piecewise linear quadratic Lyapunov functions and dwell time theory.
{"title":"Switched control for a fighter aircraft","authors":"Emre Kemer, E. Prempain","doi":"10.1109/CONTROL.2014.6915124","DOIUrl":"https://doi.org/10.1109/CONTROL.2014.6915124","url":null,"abstract":"This paper presents the design of switched feedback controllers for load factor tracking. The controller consists of a discrete set of state feedback gains which are switched according to some system states such as Mach number and altitude. Attention is restricted to the design of a longitudinal controller for the ADMIRE fighter benchmark model. Each state feedback gain is designed to track the load factor, nz, where integral action is added to enforce zero steady state error. The stability of the overall closed-loop system is established thanks to piecewise linear quadratic Lyapunov functions and dwell time theory.","PeriodicalId":269044,"journal":{"name":"2014 UKACC International Conference on Control (CONTROL)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132874986","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}
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