{"title":"Control and optimization of a cement rotary kiln: A model predictive control approach","authors":"S. Zanoli, C. Pepe, M. Rocchi","doi":"10.1109/INDIANCC.2016.7441114","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441114","url":null,"abstract":"In this paper, a Model Predictive Control strategy is used to stabilize a temperature profile along a cement rotary kiln minimizing fuel specific consumption. The adopted system architecture is composed of two different optimization layers that interact in order to improve control performances and to meet possibly variable economic goals. The developed cooperation logic between the two layers that takes into account priority ranking of controlled variables constraints has been proven to improve system performances. The developed MPC system has been implemented on a cement plant and its performances are compared to the performances of the previous system based on standard PID controllers. The results are very satisfactory in terms of economic benefits and of minimization of environmental noxious emissions.","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":"129607564","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":"Calibration of static pressure sensors using Extended Kalman Filter at high angles of attack and transonic Mach numbers","authors":"C. Kamali, Shikha Jain, Amitabh Saraf, Anup Goyal","doi":"10.1109/INDIANCC.2016.7441170","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441170","url":null,"abstract":"Airdata measurements play a key role in stabilization, control and improving performance of modern fighter aircraft. Airdata sensors installed on aircraft normally measure pressures and flow angles in the local flow field and do not measure the parameters of free stream conditions that the entire aircraft flies in. As a result all the measurements by airdata sensors need to be corrected. This paper proposes an Extended Kalman Filter (EKF) based technique for the calibration of various parameters measured by Air Data System (ADS). The paper specifically addresses calibration of static pressure sensors at high angles of attack and transonic Mach number as the main theme. The algorithm estimates wind states to improve the accuracy of calibration. The algorithm is extensively tested using the flight test data of a high performance aircraft.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"78 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":"134057964","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":"Model predictive control of complex switched mode FC-UC hybrid structure","authors":"S. Mane, Pushpak Jagtap, F. Kazi, N. Singh","doi":"10.1109/INDIANCC.2016.7441107","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441107","url":null,"abstract":"FC is a clean energy source alternative for electric vehicle and certain microgrid operations. However to compensate its slow dynamics and inability for tracking fast load transients it needs some auxiliary storage system like battery, supercapacitor (SC) or ultracapacitor (UC). This paper considers hybrid combination of FC-UC, as it has added advantages over other storage systems like instantaneous charging and discharging with increased lifetime of fuel cell. Furthermore, the paper proposes the dynamic model prediction based control strategy to achieve optimum current management. To optimize control efforts and computation complexity of optimization problem, the control strategy is used in two levels. The model predictive control (MPC) is used as outer control loop which provides optimal current references to the inner control loop which is designed using PI controller. The proposed control strategy is simulated and validated using MATLAB/ SIMULINK.","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":"117329775","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 input-output negative-imaginary systems and an output strict negative-imaginary lemma","authors":"P. Bhowmick, S. Patra","doi":"10.1109/INDIANCC.2016.7441125","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441125","url":null,"abstract":"In this paper strict negative-imaginariness is defined in input-output sense, which is different from the notion of existing strictly negative-imaginary systems. The class of output strictly negative-imaginary systems is characterized in state-space with respect to a non-negative parameter δ. The newly defined class of output strictly negative-imaginary systems forms an intersection with the existing class of strictly negative-imaginary systems. Further, a time-domain definition is also provided to classify strict and non-strict negative-imaginary systems in dissipative framework which is applicable to both linear and nonlinear cases. Several numerical examples are given to show the usefulness of the key results.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"289 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":"133861208","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. Surendran, Ritesh Chandrawanshi, S. Kulkarni, S. Bhartiya, P. Nataraj, S. Sampath
{"title":"Model predictive control of a laboratory gas turbine","authors":"S. Surendran, Ritesh Chandrawanshi, S. Kulkarni, S. Bhartiya, P. Nataraj, S. Sampath","doi":"10.1109/INDIANCC.2016.7441109","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441109","url":null,"abstract":"This paper deals with the control of a laboratory gas turbine using model predictive control (MPC). The objective is to control the speed of the gas turbine. Firstly, an empirical transfer function model is obtained experimentally, between the fuel flow and shaft speed of the gas turbine. Then, based on the empirical models simple PI controllers are designed. The output responses under PI control are found to be unsatisfactory, with large overshoots and oscillatory behavior. Next, MPC controllers are designed based on the empirical models. Relevant operating constraints are also added as design specifications. It is found that the designed MPC controller delivers good performance.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"11 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":"129135830","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":"Modelling, simulation and validation of continuous sedimentation process","authors":"N. Patel, Nital N. Patel, J. Barve","doi":"10.1109/INDIANCC.2016.7441164","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441164","url":null,"abstract":"One-dimensional model of continuous sedimentation process is presented in this paper. The proposed model is based upon 1-dimensional discretization of sedimentation tank into number of layers along its height. A point source and distributed source models are compared. Investigation of concentration at various layers of the tank is carried out. A preliminary tuning and validation of the proposed model is carried out by considering sedimentation tank that is a part of clari-flocculator process located at real-life waste-water treatment plant of the Central Effluent Treatment Plant (CETP), Ahmedabad. The model presented in this work is proposed to subsequently couple with flocculation model and to develop suitable process control applications like soft sensors to predict the relevant pollutants in the effluent of primary clarifier, automated flocculent dosage.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"169 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":"132653601","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":"Interactive mobile interface with augmented reality for learning digital control concepts","authors":"J. Frank, Anthony Brill, V. Kapila","doi":"10.1109/INDIANCC.2016.7441110","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441110","url":null,"abstract":"The use of augmented reality (AR) and mobile applications has recently been investigated in the teaching of advanced concepts and training of skills in a variety of fields. By developing educational mobile applications that incorporate augmented reality, unique interactive learning experiences can be provided to learners on their personal smartphones and tablet computers. This paper presents the development of an immersive user interface on a tablet device that can be used by engineering students to interact with a motor test-bed as they examine the effects of discrete-time pole locations on the closed-loop dynamic response of the test-bed. Specifically, users point the rear-facing camera of the tablet at the test-bed on which colored markers are affixed to enable an image processing routine running on the tablet to measure the angular position of an arm attached to the motor. To perform vision-based control of the angular position of motor arm, a discrete-time Kalman filter and a full-state feedback controller are implemented in the background of the application. As the user taps on the touchscreen of the device, s/he adjusts the angular position of a 3D semi-transparent virtual arm that represents the set point to the system. An interactive pole-zero plot allows users to tap at any desired location for the closed-loop pole-placement, in turn triggering the application code to redesign a new controller for driving the test-bed. Real-time plots enable the user to explore the resulting closed-loop response of the test-bed. Experimental results show several responses of the test-bed to demonstrate the efficacy of the proposed system.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"108 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":"133536089","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":"Bee foraging inspired multi-agent optimal motion planning analysis in a simulated-mobile environment","authors":"C. G. Majumder, L. Kumar, N. Philip","doi":"10.1109/INDIANCC.2016.7441103","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441103","url":null,"abstract":"Motion-planning has been the arena of attraction for researchers in Multi-agent systems. This paper puts forward a pioneering approach to path-planning of mobile agents using the stochastic artificial bee colony (ABC) optimization algorithm amidst dynamic obstacles thereby highlighting a comparative analysis of the different bio-inspired computing schemes. The problem formulates the determination of the trajectory of motion of the robots from predefined starting positions to fixed destinations in the world map with an ultimate objective to minimize the path length of all the robots. A local trajectory planning scheme has been devised with bee-colony optimization algorithm to optimally obtain the next positions of all the robots in the world map from their current positions, so that the paths to be developed locally for n-robots are sufficiently small with minimum spacing with the static and dynamic obstacles, present, in the world map. Experimental results are indicative of the fact that the proposed optimization scheme outperforms prevalent algorithms of literature, with respect to standard metrics, like average total path deviation and average uncovered target distance.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"27 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":"122447133","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":"Nonlinear modeling and control of coupled dynamics of a fixed wing micro air vehicle","authors":"K. Harikumar, Sidhant Dhall, M Seetharama Bhat","doi":"10.1109/INDIANCC.2016.7441153","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441153","url":null,"abstract":"In this paper, we consider the nonlinear modeling and control design for coupled longitudinal and lateral dynamics of a fixed wing micro air vehicle (MAV) of span 150 mm. It is shown that propeller wake and counter torque has significant effects on the dynamics of the MAV. Severe coupling between longitudinal and lateral dynamics drives the requirement for control system design for unconventional higher dimensional state space model. The controller takes the structure of static output feedback possessing robustness against parametric uncertainties. The proposed controller is simulated using six degree of freedom nonlinear model of the MAV under Dryden wind disturbances.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128952969","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":"Real time sensor fusion for micro aerial vehicles using low cost systems","authors":"Sanketh. Ailneni, S. Kashyap, N. Kumar","doi":"10.1109/ASCC.2015.7244596","DOIUrl":"https://doi.org/10.1109/ASCC.2015.7244596","url":null,"abstract":"Novel sensor fusion architecture is proposed to provide complete navigational solution for micro aerial vehicles (MAV) using low cost sensors and micro controller. The approach uses a nonlinear complementary filter (NCF) to estimate direction cosine matrix (DCM), the estimated attitude and heading from DCM are used in turn to predict MAV position in North and East direction and a two state extended Kalman filter (EKF) based estimator to estimate altitude and vertical speed. The emphasis is on the EKF estimator which is driven by only one measurement without losing observability. The fusion algorithm uses tri-axial accelerometers, rate gyroscopes & magnetometers, pressure altitude and global positioning system (GPS) measurements. The proposed architecture is computationally less intensive and is implemented for real time application on a low cost microcontroller based autopilot board to provide the complete navigational solution at 50 Hz.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128536409","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}