{"title":"Towards teleoperation-based interactive learning of robot kinematics using a mobile augmented reality interface on a tablet","authors":"J. Frank, V. Kapila","doi":"10.1109/INDIANCC.2016.7441163","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441163","url":null,"abstract":"The integration of augmented reality (AR) techniques in user interface design has enhanced interactive experiences in teleoperation of robots, hands-on learning in classrooms, laboratory, and special education, and user training in an array of fields, e.g., aerospace, automotive, construction, manufacturing, medical, etc. However, AR-based user interfaces that command machines and tools have not been fully explored for their potential to enhance interactive learning of engineering concepts in the laboratory. This paper outlines the development of a mobile application executing on a tablet device, which renders an immersive AR-based graphical user interface to enable users to monitor, interact with, and control a four-link underactuated planar robot. Computer vision routines are used to extract real-time, vision-based measurements of the robot's joint angles and end effector location from the live video captured by the rear-facing camera on the tablet. The obtained measurements are used to render AR content to offer users with additional visual feedback. Touch gesture recognition is implemented to allow users to naturally and intuitively command the robot by tapping and dragging their fingers at desired locations on the tablet screen. Experimental results show the performance and efficacy of the proposed system as it is operated in two different modes: one in which the user has direct control over the angles of the actuated links of the robot and one in which the user has direct control over the end effector location.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132204243","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":"Disturbance observer for multivariate speed-dependent disturbance in DC motors","authors":"Neeraj Matiyali, R. Potluri","doi":"10.1109/INDIANCC.2016.7441113","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441113","url":null,"abstract":"The disturbance observer (DOB) is a popular tool for disturbance rejection. However, it has not yet been employed in the literature to reject disturbances that are dependent on the output of the plant, though such disturbances are common. Recently, the second author employed the DOB to reject a disturbance that is dependent on the speed of a single motor. This paper extends that work to a system of multiple identical motors in which the disturbance acting on each motor is an output of a multi-input multi-output (MIMO) system with speeds of the motors as the inputs to this MIMO system. In four-wheel steering four-wheel drive (4WS4WD) electric vehicles with DC motors as the driving motors, this MIMO system models the tire-road interaction and dynamic load transfer of the vehicle. This paper develops the conditions under which the conventional DOB can be employed to reject disturbances that are the outputs of MIMO systems. Simulations illustrate the theory.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134373036","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}
R. Relan, Y. Firouz, L. Vanbeylen, J. Timmermans, J. Schoukens
{"title":"Nonparametric analysis of the short-term electrical response of Li-ion battery cells","authors":"R. Relan, Y. Firouz, L. Vanbeylen, J. Timmermans, J. Schoukens","doi":"10.1109/INDIANCC.2016.7441097","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441097","url":null,"abstract":"In order to develop a complete dynamic model of a lithium ion (Li-ion) battery's electrical behaviour, which is suitable for virtual-prototyping of battery-powered systems, accurate estimation of the state of charge (SoC) and state of health (SoH) is required. This in-turn depends on the quality of the models which are used for the estimation of these quantities. Hence, even before proceeding towards the modelling step, it is important to fully characterize and understand the electrical behaviour of the battery over its full operating range, so that a flexible and accurate dynamic model can be developed. In this paper, a novel frequency domain non-parametric methodology is proposed to characterize the battery short-term electrical behaviour, in terms of: Presence of the non-linearities as well as the time-variations (non-stationary behaviour) over its full operating range. This information can later be used by battery modeller to decide on the modelling methodology.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921169","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}
S. B. Prusty, S. Seshagiri, U. C. Pati, K. Mahapatra
{"title":"Sliding mode control of coupled tanks using conditional integrators","authors":"S. B. Prusty, S. Seshagiri, U. C. Pati, K. Mahapatra","doi":"10.1109/INDIANCC.2016.7441120","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441120","url":null,"abstract":"This paper is on set point regulation of the liquid level in coupled tanks, using continuous sliding mode control (SMC) with integral action. The integrator action occurs only conditionally inside the boundary layer. This \"conditional integrator\" (CI) design results in improved transient performance over conventional SMC with integral action. It also retains the robustness to uncertain system parameters and disturbances that ideal SMC exhibits, but without control chattering, which is important, because chattering can cause valve wear and tear. We consider two cases: (i) a SISO system with 2 tanks, and (ii) a MIMO system of quadruple tanks. Our controller happens to be a saturated PID controller with anti-windup structure in the SISO case, and 2 decentralized PI controllers in the MIMO case. This is of particular significance because while the application of nonlinear control strategies such as feedback linearization, adaptive/neural control and nonlinear model predictive control has reached considerable maturity for process systems, industrial practice has traditionally relied on PI/PID controllers. Simulation results show that good tracking performance is achieved, in spite of disturbances and unmodeled dynamics.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"593 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133134309","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 of nonlinear systems with dissipative nonlinearity over large-scale stochastic networks","authors":"Amit Diwadkar, U. Vaidya","doi":"10.1109/INDIANCC.2016.7441128","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441128","url":null,"abstract":"In this paper, we study the synchronization of identical nonlinear systems over large-scale network with uncertainty in the interconnections. We consider a special class of nonlinear systems which have a dissipative nonlinearity and the stability of such systems can be analyzed using absolute stability theory tools like the Positive Real Lemma, Bounded Real Lemma and dissipativity theory. We extend this analysis to the stochastic setting over a network where the interconnection weights are drive by Wiener process with given mean and variance. To capture the stability of the synchronized state, we study the notion of mean square stability from stochastic stability theory and formulate a network size-independent sufficient condition based on the theory of stochastic dissipative systems. We also compute a heuristic margin of synchronization for the networked systems to indicate the tolerance to stochastic uncertainty in interconnection links.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042287","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":"Evaluation of control strategies for a semi batch copolymerization reactor","authors":"R. Kamesh, P. Anand, K. Rani","doi":"10.1109/INDIANCC.2016.7441177","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441177","url":null,"abstract":"Polymerization processes are characterized by exothermic reactions with complicated nonlinear dynamics, especially in batch / semi-batch mode. The complexities of the polymerization kinetics and reactor behaviour pose difficult quality control problems. Therefore a control strategy that ensures an optimal as well as robust operation of polymerization reactors, under the influence of various disturbances control, is required to achieve the desired product specifications. It is extremely important to develop efficient methods for the synthesis of polymerization control strategies. In this work, the optimal target values of molecular weight and copolymer composition for a semi-batch styrene-acrylonitrile (SAN) copolymerization reactor are set as set point trajectories and are tracked by PI controllers. Two versions of PI control, namely two independent SISO controllers and multivariable PI controller are attempted in this study for control of molecular weight and copolymer composition using coolant temperature and inlet feeding flow rate as manipulated inputs. This approach overcomes the drawbacks of open loop optimal control implementation though handling of the effects of load disturbances as well as set point changes. The simulation results demonstrate the usability of this approach for online optimization and control.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347733","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":"Dimensionality reduction based IMC-PI tuning for DC servomotor","authors":"Sahaj Saxena, Y. V. Hote","doi":"10.1109/INDIANCC.2016.7441175","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441175","url":null,"abstract":"In this paper, an internal model control (IMC) based proportional integral (PI) controller is designed for DC servomotor using the concept of model order reduction. The beauty of the presented approach is that the optimal performance can be achieved by lower-order controller, hence reduces the size of the controller. Moreover, there is no need for extra filter which is generally augmented with IMC-PID controller. Particularly here, it is shown that without using additional filter, the performance of IMC-PI controller is better in comparison to IMC-PID controller with additional filter. The proposed methodology has been validated on an experimental set up of precision modular servo (PMS) system using its different reduced-order models. Further, it is shown that the reduced model based on Routh array is the best suited for obtaining optimal performance for speed control of PMS system.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":" 54","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934286","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 linear discrete time controller for spacecraft attitude dynamics on Lie group","authors":"K. Karthikeyan, H. Simha, H. Priyadarshan","doi":"10.1109/INDIANCC.2016.7441123","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441123","url":null,"abstract":"We design a discrete-time linear controller for spacecraft attitude dynamics whose configuration space is a Lie group, by linearizing the discrete non-linear model obtained by Lie group variational integrator (LGVI) technique. The advantage, in terms of sampling rate requirement, of the proposed technique over designing a discrete-time linear controller by discretizing the linearized continuous time system model using a classical transformation technique (zero order hold) is illustrated with the help of simulation results.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124152464","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":"Single-sample classification of breast cancer tumors using data-driven reference genes","authors":"Burook Misganaw, M. Vidyasagar","doi":"10.1109/INDIANCC.2016.7441098","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441098","url":null,"abstract":"Breast cancer is the most prevalent form of cancer to strike women. There are four major subtypes of breast cancer, and therapies are different for each of these subtypes. In particular, two of the four subtypes are grouped into so-called ER-positive (ER+) subtype and are treated with tamoxifen. Therefore an important first step in personalizing breast cancer therapy is to classify a patient into ER+ or ER- on the basis of the tumor. Due to so-called \"batch effect,\" measurements of gene expression levels of tumors vary from one instrument to the next, or even the same instrument from one day to another. In the present paper, we propose that reference genes should be chosen in a data-driven manner, to consist of those genes that show very little variation across tumors. Our choice of reference genes shows far less variation compared to genes proposed in the literature, known as \"housekeeping\" genes. Using our reference genes to normalize measurements, we trained a binary classifier to discriminate between ER+ and ER- patients using the TCGA Agilent database of 519 samples. This classifier was then tested, one sample at a time, on 759 other tumors and also on the original 519 samples but using a different platform (Affymetrix). The results are extremely satisfactory. Thus our paper is the first to present a method for classifying breast cancer tumors into ER+ and ER-, one tumor at a time, in the presence of the batch effect and platform variation.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130974631","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":"Achieving a desired collective centroid by a formation of agents moving in a controllable force field","authors":"Anoop Jain, Debasish Ghose, P. Menon","doi":"10.1109/INDIANCC.2016.7441126","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441126","url":null,"abstract":"In this paper, we study the problem of a formation of agents trying to achieve a desired stationary or moving collective centroid. The agents are assumed to be moving in a force field which is controlled externally. The stabilization of the collective centroid to a fixed desired location results in a balanced formation of the agents about that point. Similarly, the centroid of the system of agents may be required to move along a certain given trajectory. For this, the centroid of the formation must converge to the desired trajectory. To solve this problem, we propose an all-to-all coupled planar motion model that explicitly incorporates an additional control pertaining to the external force field. Simulation results are presented to support the theoretical findings.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246537","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}