{"title":"Diagnosis and rectification of model-process mismatch in chemical reaction systems","authors":"D. M. Darsha Kumar, S. Narasimhan, Nirav P. Bhatt","doi":"10.1109/INDIANCC.2016.7441119","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441119","url":null,"abstract":"In chemical reaction systems, a reliable kinetic model is essential to predict the evolution of concentrations. Often, variations in physicochemical or operational conditions lead to change in a part or whole of the reaction kinetics. This leads to a mismatch between the process model and the process. Consequently, the current model fails to capture the behaviour of the underlying system. Hence, it is important to detect such a change and rectify the model appropriately. In this work, we formulate this problem in a fault diagnosis and identification framework. We propose a framework for solving this problem in the following three steps: (1) Detection of overall model-process mismatch, (2) Isolation of faulty rate model, and (3) Rectification of faulty rate model. The detection step is carried out using a global test which identifies if there is a fault in the system. The isolation of faulty reaction is accomplished using a nodal test statistic. The model-process mismatch in that of the isolated reaction is rectified using a bank of extended Kalman filters. The proposed approach is illustrated using a simulation example of the Acetoacetylation of Pyrrole system.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"13 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":"125974179","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}
B. Tare, S. Waghmare, Irfan A. Siddavatam, F. Kazi, Navdeep M. Singh
{"title":"Security analysis of DNP3 using CPN model with state space report representation using LDA","authors":"B. Tare, S. Waghmare, Irfan A. Siddavatam, F. Kazi, Navdeep M. Singh","doi":"10.1109/INDIANCC.2016.7441101","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441101","url":null,"abstract":"Supervisory Control and Data Acquisition System (SCADA) communication forms major portion of substation automation in smart grid, as it monitors performances of substation components and their parameters. Till date keeping SCADA networks functional was prime focus, but now making it secure is biggest challenge because of their continuous connection to public networks. This paper presents security analysis of Distributed Network Protocol Version 3 (DNP3) using Coloured Petri Nets (CPN) model. DNP3 is extensively used in SCADA systems for distributed control of oil, gas and power grid infrastructure. CPN technique gives complete environment to understand communication link in DNP3 with actual packet formation and their transmission through the network. To perform security analysis, experiments are carried out with initial CPN model and a state space reports are generated for legitimate and malicious traffic flow. Then the generated state space report is used to train the Linear Discriminant Analysis (LDA) model which will discriminate the malicious flow from legitimate flow.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"57 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":"114325338","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":"Projection based constrained nonlinear state estimation using Gaussian sum filters","authors":"Krishna Kumar Kottakki, M. Bhushan, S. Bhartiya","doi":"10.1109/INDIANCC.2016.7441172","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441172","url":null,"abstract":"Constraint handling is an integral part of any practical state estimation procedure. Most current approaches to constrained state estimation ensure that the point estimate is feasible with respect to the constraints and are based on popular unconstrained approaches such as sampling based approaches such as Unscented Kalman Filter (UKF) [1], which use deterministically chosen set of sigma points. However, UKF is based on an implicit assumption that the conditional state densities at various steps are Gaussian. In a recent work [2], a new filter termed as Unscented Gaussian Sum Filter (UGSF) was proposed that represents the prior density as a Gaussian sum. It was shown, using simulation studies, that the UGSF outperforms UKF thereby demonstrating the advantage of using a non-Gaussian prior. In this work, we propose to extend UGSF to constrained UGSF by incorporation of constraints on the states in the estimation process. In particular, we propose to use Interval Constrained Unscented Transformation (ICUT) [3] and projection algorithm [4] with the UGSF framework. Implementation on the three state isothermal batch reactor case study [5] shows that the proposed constrained UGSF using the projection method outperforms constrained UKF while maintaining the computation effort similar to the constrained UKF version.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"93 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":"133169368","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":"Sliding mode control for underactuated slosh-container system using collocated and non-collocated linearization","authors":"Parth S. Thakar, B. Bandyopadhyay, P. Gandhi","doi":"10.1109/INDIANCC.2016.7441122","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441122","url":null,"abstract":"This work mainly deals with the sliding mode control for the sloshing liquid in a container using Collocated and Non-Collocated linearization techniques. The comparative study of these techniques is done for the first time for a slosh-container system, which represents a class of underactuated systems. A linear sliding surface based sliding mode control is derived for both the approaches which rejects the matched uncertainties or model mismatches and disturbances. Some remarkable comparative points are noted and highlighted with the supporting simulations.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"708 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":"131067521","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":"Multi-objective optimization of energy generation and noise propagation: A hybrid approach","authors":"P. Mittal, Kedar M. Kulkarni, K. Mitra","doi":"10.1109/INDIANCC.2016.7441181","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441181","url":null,"abstract":"Various methodologies have been proposed to optimally place wind turbines inside a wind farm to extract maximum energy. However it is highly likely, that these layouts come in the proximity of human habitation leading to a negative impact on their health by creating noise, visual impact, electromagnetic interference etc. Compared to others, noise has become an important point of concern for wind farm owners, which limits the number of turbines to be erected in a wind farm satisfying its mandatory noise limits. In this study, wind farm layout optimization (WFLO) is performed by considering a trade-off between energy and noise generated in a wind farm. A novel hybrid methodology is proposed to carry out a multi-objective optimization between maximized energy and minimized noise level value. Proposed hybrid methodology is a combination of multi-objective evolutionary algorithm (NSGA-II) followed by a single objective gradient approach to solve a series of integer and continuous problem formulations. Results of a generated Pareto Optimal (PO) front provide an alternative solution of Energy - Noise trade-off along with an additional information on corresponding optimum number of turbines and their optimal location coordinates, which leaves a designer with ample of choices to make in between optimal turbine number as well as two objectives.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"22 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":"131460174","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":"Precision controller for segmented mirror telescope actuator: Control and tuning","authors":"P. Deshmukh, P. Parihar","doi":"10.1109/INDIANCC.2016.7441135","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441135","url":null,"abstract":"The segmented mirror telescopes are built using small hexagonal mirrors positioned and aligned by the three actuators and six edge sensors per segment to maintain the shape of the primary mirror. The global loop controller does this by sending commands to the actuators to move within few nanometers. These commands are executed at individual actuator locally by a precision controller. The paper describes our effort to develop a precision actuator controller at India TMT Coordination Centre (ITCC) laboratory, Indian Institute of Astrophysics, Bangalore. The actuator controller is implemented around a single board computer called SBC6845. We have also designed and developed a customized actuator drive board which comprises power electronics to handle the voice coil motor (VCM), off-loader as well as snubber stepper motors. In addition to this, drive board also contains a decoder, current sensor and related circuitry to get the position and other feedbacks. The closed loop proportional-integral-derivative controller (PID controller) is implemented for position loop using the feedback from linear optical encoder. Another closed loop is introduced around off-loader with the feedback from current sensor. The tuning of position loop is done by two different methods based on Relay Auto tuning and System Identification. By making use of above controller and the optimum gain, several experiments have been conducted to test the performance of prototype soft actuator. The Actuator along with its best tuned controller gives the steady state position error around 2.44nm RMS. At the tracking rate of 300nm/s, we could achieve RMS position error of 4.04nm, which is better than what is required. These results and other details of controller and its tuning are presented.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"19 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983358","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 near-optimal analytical guidance scheme for approach phase of autonomous lunar landing","authors":"Kapil Sachan, R. Padhi","doi":"10.1109/INDIANCC.2016.7441139","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441139","url":null,"abstract":"An analytical fuel sub-optimal guidance strategy is presented in this paper during the approach phase of soft lunar landing. The analytical guidance is obtained by considering the local radius and range angle as polynomial functions of time. One of the important objectives of the proposed guidance scheme is the accuracy of terminal position and velocity. The angle of thrust vector is also posed as an essential mission constraint at the end of approach phase, which is necessary for smooth initiation of vertical descent phase of soft lunar landing. It has been observed that fuel consumption during the approach phase is highly dependent on the selection of final flight time. Hence, by choosing final flight time optimally, the proposed approach has been extended further that leads to a near fuel optimal guidance scheme. The effectiveness of the proposed near-optimal guidance algorithm has been demonstrated from the extensive simulation studies.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"1 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":"130424388","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":"Optimal PID design for voltage mode control of DC-DC buck converters","authors":"S. Seshagiri, E. Block, I. Larrea, Luana Soares","doi":"10.1109/INDIANCC.2016.7441112","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441112","url":null,"abstract":"This paper presents an LQR-based output-feedback integral control design for voltage regulation of a buck DC-DC converter in continuous-conduction mode (CCM). The averaged state-space model is first transformed to normal form, with the new states being the output and its derivative. A state-feedback LQR design is then designed, following which the derivative term in the control design is approximated using a high-gain observer (HGO). Even without an integrator, i.e., PD control, the voltage error can be practically stabilized, while asymptotic stability is achieved with integral (i.e. PID) control. The design is experimentally verified using the Power Pole board designed by Hirel Systems and the University of Minessota configured as a buck converter, the dSPACE DS1104 board used for the control implementation. The controller's performance is compared against a traditional PID design (based on desired gain-crossover frequency and phase-margin) that is implemented in analog hardware. Simulation and experimental results show that the proposed control method results in satisfactory voltage regulation performance under widely varying input voltage variations and load changes.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"170 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":"129416382","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":"Roll autopilot design of a tactical missile using higher order sliding mode technique","authors":"Ram B. Sankar, B. Bandyopadhyay, H. Arya","doi":"10.1109/INDIANCC.2016.7441143","DOIUrl":"https://doi.org/10.1109/INDIANCC.2016.7441143","url":null,"abstract":"Tactical missiles are used against various aerial/ground targets which can be stationary or maneuvering. Tactical missiles should have highly efficient control scheme in order to intercept such targets with acceptable miss distance. It is known that aerodynamic characterization of the missile with high accuracy is very difficult. In addition to this, the inability to model the external disturbances make the autopilot design very difficult. Hence, the need for a robust control arises in the presence of parametric uncertainties and unmodelled external disturbances. Sliding Mode Control (SMC) which has got invariance property against external disturbances and the model inaccuracies has been applied to this plant. This paper concentrates on application of higher order sliding mode control for the roll autopilot design of a tactical missile. Conventionally, the roll autopilot is designed with roll angle and roll rate feedbacks. The addition of roll acceleration feedback helps to obtain a tighter control of roll dynamics especially during high angle of attack requirements. However, the roll acceleration is neither measurable nor estimable by numerical differentiation of roll rate feedback. A differentiator based on Super Twisting Algorithm (STA) is explored to estimate roll acceleration from roll rate measurement. The use of roll acceleration feedback in the autopilot ensures tight control of roll dynamics. The robust sliding mode control gains are designed using Linear Matrix Inequalities (LMI) based technique.","PeriodicalId":286356,"journal":{"name":"2016 Indian Control Conference (ICC)","volume":"213 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":"121616671","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}