2016 Indian Control Conference (ICC)最新文献_第7页

Sensor health monitoring using simple data driven approaches 使用简单的数据驱动方法进行传感器运行状况监控

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441102

V. Mathew, S. Sengupta, M. Chatterjee, S. Kamath

{"title":"Sensor health monitoring using simple data driven approaches","authors":"V. Mathew, S. Sengupta, M. Chatterjee, S. Kamath","doi":"10.1109/INDIANCC.2016.7441102","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441102","url":null,"abstract":"Present day high end vehicles contain as many as 100 microprocessors and have more than 100 million lines of code [3]. Electronic Control Units (ECUs) use numerous sensors spread across various sub-systems to perform a variety of functions such as stability control, adaptive cruise control, power train control, autonomous driving, etc. The accuracy of sensors degrades over the vehicle lifetime. The control logic of vehicles uses sensor measurements to detect the vehicle state and give appropriate commands to control the vehicle. Faults in sensors cause wrong feedback to be sent to the control logic and subsequently commands given by the control logic become faulty. Thus the effect of a sensor fault can be observed in subsystems controlled by the control logic. So advanced diagnosis techniques are required to detect the sensor degradation. In this work, a comparison is made between two different automotive sensor health monitoring methods used to diagnose sensor faults. The methods that are compared are: lookup table based method and machine learning (using multiple linear regression) based method. The comparison will enable one to choose the appropriate method by considering the attributes required for a particular application like accuracy, amount of computation required, simplicity, etc. Sensor faults are detected by comparing the current sensor output with a nominal no-fault sensor block output at the particular operating point of the system. The lookup table method was implemented in Matlab while the machine learning method was implemented using R programming language. The proposed methods are illustrated on the case example of motor fault in a Hybrid Electric Vehicle to analyze their efficacy. They have been found to be valid for all drive cycles and can be used for diagnosing sensor faults in real time.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114306754","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

Optimal sensor network design for early intrusion detection and identification in water distribution networks 供水网络早期入侵检测与识别的传感器网络优化设计

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441118

Venkata Reddy Palleti, S. Narasimhan, R. Rengasamy

引用次数: 2

Dynamic optimization of a batch transesterification process for biodiesel production 生物柴油间歇式酯交换工艺的动态优化

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441115

Riju De, S. Bhartiya, Y. Shastri

{"title":"Dynamic optimization of a batch transesterification process for biodiesel production","authors":"Riju De, S. Bhartiya, Y. Shastri","doi":"10.1109/INDIANCC.2016.7441115","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441115","url":null,"abstract":"With the advancement of studies in the field of renewable fuels, biodiesel production has received a lot of attention over the years. Biodiesel production is based on transesterification reaction between a vegetable oil containing triglycerides and a shorter chain alcohol e.g. methanol. A batch transesterification process needs tighter control on reaction temperature for achieving higher triglyceride conversion. Here, open loop control called optimal control has been employed on the transesterification kinetic model of a batch process. A multi-objective optimization problem is formulated with two objectives namely, maximization of methyl ester concentration at batch end time and minimization of final batch time. An e-constraint approach is adopted for solving the multi-objective optimization problem. Orthogonal collocation on finite elements scheme is employed to generate the optimal temperature trajectory. Under the framework of collocation method, state and control profiles have been discretized using piecewise linear Lagrange's polynomials and the control problem has got transformed into an NLP problem. fmincon solver is utilized in solving the NLP in MATLAB®. Maximum methyl ester concentration at final batch time and the minimum batch end time have been determined to be 0.8315 mol/l and 67.4 min, respectively. Optimal results have been found with two finite elements and five interior collocation points.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126223194","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: 8

A perspective on the use of high-frequency stimulation in deep brain stimulation for Parkinson's disease 高频刺激在帕金森病深部脑刺激中的应用前景

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441100

Vrutangkumar V. Shah, Sachin Goyal, H. Palanthandalam-Madapusi

{"title":"A perspective on the use of high-frequency stimulation in deep brain stimulation for Parkinson's disease","authors":"Vrutangkumar V. Shah, Sachin Goyal, H. Palanthandalam-Madapusi","doi":"10.1109/INDIANCC.2016.7441100","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441100","url":null,"abstract":"Parkinson's disease is a neurodegenerative disorder of the central nervous system and among the symptoms, rest tremors is one of the key symptoms. Deep Brain Stimulation (DBS) is a treatment that effectively manages the tremor symptoms in Parkinson's disease. Despite being a successful treatment option, its underlying principle and the mechanism by which it attenuates tremors is not yet fully understood. Since existing methods for tuning DBS parameters are largely trial and error approaches, understanding how DBS works can help reduce time and costs. Further, understanding how DBS works may also help in understanding the mechanism by which the tremors are caused in the first place, which still remains a contested issue. Understanding these mechanisms ultimately could lead to accurate diagnosis tools and better treatment strategies for Parkinson's disease. In this paper, we set out to analyse how a high-frequency stimulation signal in the brain in DBS can help control the low-frequency rest tremors observed in Parkinson's patients. With a simplistic feedback loop framework that captures the key elements in the sensorimotor loop (the feedback loop consisting of sensory functions and motor functions) in humans, we draw key insights into the mechanism by which the high-frequency stimulation signal can help reduce the `equivalent gain' of the low-frequency tremor component and thus help attenuate the tremors. We verify these observations with numerical examples and a bench top experimental example, and close with a few concluding remarks.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664276","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

Integrated adaptive guidance and control for the entry phase of winged RLV 带翼RLV进入段综合自适应制导与控制

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441154

P. Anjaly, S. Swaminathan

{"title":"Integrated adaptive guidance and control for the entry phase of winged RLV","authors":"P. Anjaly, S. Swaminathan","doi":"10.1109/INDIANCC.2016.7441154","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441154","url":null,"abstract":"An adaptive integrated guidance and control scheme is developed for the entry phase of winged RLV. The reference profiles are generated off-line using constrained optimization techniques to take care of all possible variations in initial conditions and path constraints. Lateral and longitudinal guidance commands are generated in-flight with the help of stored reference profiles to meet the boundary conditions. Non-linear dynamic inversion is used to design inner loop control. Unpredicted failures like control surface saturations, aerodynamic uncertainties, chattering of control surfaces are addressed by the bandwidth adaptation logic. The integration of the guidance and control loop is achieved by a feedback from control to guidance section, thereby making the guidance loop adaptive to changes in the control bandwidth. In this way, the guidance subsystem generates feasible trajectories that ensure safe flight of RLV despite unpredicted scenarios. The integrated scheme is simulated extensively in 6 Degrees of freedom (DOF) environment along with non-linear actuator dynamics to validate the algorithm. Robustness of the proposed method is demonstrated using Monte Carlo simulations with various failure modes and plant parameter uncertainties.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187109","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

Transparency enhancement of haptic interface using model matching approach 基于模型匹配方法的触觉界面透明度增强

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441165

Indrajit Desai, Abhishek Gupta, D. Chakraborty

引用次数: 9

Steering laws of Single Gimbal Control Moment Gyros applied to spacecraft manoeuvres and tracking — A comparison 单万向节控制力矩陀螺在航天器机动和跟踪中的转向规律比较

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441144

Abhilash Mony, H. Hablani, Srikant Sukumar

引用次数: 3

Decentralized formation flying using modified pursuit guidance control laws 基于改进跟踪制导控制律的分散编队飞行

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441157

G. Kumaresan, G. K. Singh

引用次数: 4

Automatic recovery of a combat aircraft from a completed Cobra and Herbst maneuver: A sliding mode control based scheme 作战飞机完成眼镜蛇和赫布斯特机动后的自动恢复:基于滑模控制的方案

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441137

B. Mukherjee, P. Ranju Thomas, M. Sinha

{"title":"Automatic recovery of a combat aircraft from a completed Cobra and Herbst maneuver: A sliding mode control based scheme","authors":"B. Mukherjee, P. Ranju Thomas, M. Sinha","doi":"10.1109/INDIANCC.2016.7441137","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441137","url":null,"abstract":"Cobra and Herbst are two complex post-stall air combat maneuvers popularly executed by the present-day fighter aircraft. At the end of these maneuvers, the aircraft usually develops either a high negative flight path angle or a high negative flight path angle rate apart from a considerably low velocity. Therefore, the aircraft needs to recover from such undesired flight conditions as quickly as possible. Usually this recovery is achieved manually by the pilot. In the present paper, a novel automatic recovery strategy is proposed. Two recovery schemes - a partial recovery scheme to get back to a level flight condition quickly without worrying about velocity and a full recovery scheme to restore the initial steady level trim completely (both velocity and altitude wise) are presented. As these maneuvers are executed in high angle of attack regions, the aircraft flight dynamics becomes highly nonlinear and coupled requiring use of nonlinear control methods. In the present work, sliding mode control technique is considered as, apart from handling the nonlinearities effectively, it also provides robustness to uncertainty in the aerodynamic data. MATLAB simulation results are presented to first demonstrate the execution of the maneuvers and thereafter to validate the proposed recovery schemes.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126745991","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: 2

Reconstruction of aerodynamic angles from flight data for "Slybird" Unmanned Aerial Vehicle (UAV) 基于“斯莱伯德”无人机飞行数据的气动角重构

2016 Indian Control Conference (ICC) Pub Date : 1900-01-01 DOI: 10.1109/INDIANCC.2016.7441136

Shikha Jain, C. Kamali

{"title":"Reconstruction of aerodynamic angles from flight data for \"Slybird\" Unmanned Aerial Vehicle (UAV)","authors":"Shikha Jain, C. Kamali","doi":"10.1109/INDIANCC.2016.7441136","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441136","url":null,"abstract":"The angle of attack and the sideslip angle are significant parameters describing the aerodynamics of the aircraft. Specifically, these angles are required for identification of the system parameters such as aerodynamic forces and moment derivatives. For exact measurements, it is necessary to install appropriate air data sensors on board. However, it is sometime difficult to install such apparatus on small UAVs. Inertial sensor measurements, aerodynamic derivatives and equations of motions are used to determine the aerodynamic angles. In this paper, three approaches are followed to estimate airflow angles. The first concept uses navigational equations for the estimation. In the second approach, inertial sensor data has been used. Third concept uses aerodynamic derivative obtained from wind tunnel testing. Estimated angles from all three approaches are shown for simulated and flight data. Complementary filter has been used for combining estimated angles obtained using inertial measurements and aerodynamic derivative based approaches. Improved filtered angles are compared with simulated airflow angles for the same flight condition.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127218318","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