P. Koprinkova-Hristova, Y. Todorov, N. Paraschiv, M. Olteanu, M. Terziyska
{"title":"Adaptive control of distillation column using adaptive critic design","authors":"P. Koprinkova-Hristova, Y. Todorov, N. Paraschiv, M. Olteanu, M. Terziyska","doi":"10.1109/PC.2017.7976253","DOIUrl":"https://doi.org/10.1109/PC.2017.7976253","url":null,"abstract":"The paper aims at synthesis of an adaptive controller of the distillate output flow rate of a binary distillation column. The disturbance of the process is the change of concentration of the inlet compound. The Adaptive Critic Design (ACD) approach was applied to predict on time the future effect of disturbance and to adapt the distillate output flow rate in order to prevent deviations from the desired distillate concentration. The key element of ACD — the critic — is a fast trainable recurrent neural network named Echo state network (ESN). The simulation investigations demonstrated that the proposed adaptive control scheme outperforms a classical non-adaptive controller with respect to the settling time and the reaction delay.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678999","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":"Intuitionistic fuzzy radial basis functions network for modeling of nonlinear dynamics","authors":"Y. Todorov, P. Koprinkova-Hristova, M. Terziyska","doi":"10.1109/PC.2017.7976249","DOIUrl":"https://doi.org/10.1109/PC.2017.7976249","url":null,"abstract":"This paper deals with a design methodology for a neural network with improved robust qualities in notion to handling uncertain input data space variations. The proposed network topology combines the simplicity of the radial basis functions networks to interpret or classify data pairs and the abilities of the intuitionistic fuzzy logic to deal with the vagueness of the data space. A simplified gradient optimization procedure as a learning approach for the designed hybrid neural network is proposed. To investigate the effects of the generated structure throughout varying network parameters, the modeling of a two benchmark chaotic time series — Mackey-Glass and Rossler under uncertain conditions is investigated. The obtained results prove the flexibility of the approach and its potentials to cope with data variations.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668194","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":"Tuning rule for linear control of nonlinear reactive sputter processes","authors":"C. Woelfel, P. Awakowicz, J. Lunze","doi":"10.1109/PC.2017.7976198","DOIUrl":"https://doi.org/10.1109/PC.2017.7976198","url":null,"abstract":"A tuning rule for the linear control of nonlinear reactive sputter processes is developed based on a process model, which has the form of an Abel differential equation. The process characteristics relates to a supercritical Pitchfork bifurcation with stable and unstable equilibrium states. The paper presents a tuning rule to achieve a desired closed-loop transition behavior and set-point following for step-shaped reference signals without the need of an identified process model. The tuning rule is deduced from the given stability conditions. Experiments are presented for the validation of the developed control structure and the proposed tuning rule. They show that reactive sputter processes can be systematically tuned to achieve a desired closed-loop behavior.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126712620","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":"Position control of servo drive with a state observer","authors":"Igor Béiai, M. Huba","doi":"10.1109/PC.2017.7976230","DOIUrl":"https://doi.org/10.1109/PC.2017.7976230","url":null,"abstract":"The paper is dedicated to the design and comparison of a positional servo drive with two alternative control structures. PD controller and a state observer are used in two model based control approaches, which differ in type of the state observer. One of them contains an inverse plant model combined with filters of the position and velocity feedback (DO-FPID control). Their orders are optional. The second structure includes an extended state observer (ESO) combined again with filters in the position and velocity feedback. However, the filter orders are not optional and follow from the ESO structure (ESO-PID control). In addition, in both structures a setpoint feedforward is utilized. Its purpose is to minimize the control error during continuous position reference changes. Tuning of the controller, state observer and feedforward parameters are presented in the paper. Properties of the considered position controllers are verified through simulation.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128571361","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}
Sakthivel Thangavel, R. Paulen, S. Engell, S. Lucia
{"title":"Robust nonlinear model predictive control with reduction of uncertainty via dual control","authors":"Sakthivel Thangavel, R. Paulen, S. Engell, S. Lucia","doi":"10.1109/PC.2017.7976187","DOIUrl":"https://doi.org/10.1109/PC.2017.7976187","url":null,"abstract":"Dual control is a technique that solves the tradeoff between using the input signal for the excitation of the system excitation signal (probing actions) and controlling it, which results in a better estimation of the unknown parameters and therefore in a better (tracking or economic) performance. In this paper we present a dual control approach for multistage robust NMPC where the uncertainty is represented as a tree of possible realizations. The proposed approach achieves implicit dual control actions by considering the future reduction of the ranges of the uncertainties due to control actions and measurements. The region of the uncertainties is described by the covariance of the parameter estimates. The proposed scheme does not require a priori knowledge on the relative importance of the probing action compared to the optimal operation of the system, as employed in other approaches. Simulation results obtained for a semi-batch reactor case study show the advantages of dual NMPC over robust (multi-stage) NMPC and adaptive robust NMPC, where the scenario tree is updated whenever a new measurement information is available.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128338393","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":"Input shaping solutions for drones with suspended load: First results","authors":"P. Homolka, M. Hromčík, T. Vyhlídal","doi":"10.1109/PC.2017.7976184","DOIUrl":"https://doi.org/10.1109/PC.2017.7976184","url":null,"abstract":"In this paper our first achievements are reported on application of input command shapers for control of quadcopters with suspended load. Simulation results are presented for a free 2DoF quadcopter. The flight control system, consisting of two PID controllers and of a static nonlinearity mapping the propellers thrusts to particular degrees of freedom, is augmented by input shapers in the feedforward path. Properties of the resulting control law are presented and further research proposals are elaborated.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125329086","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}
J. Vachálek, L. Bartalský, Oliver Rovný, D. Šišmišová, Martin Morháč, Milan Lokšík
{"title":"The digital twin of an industrial production line within the industry 4.0 concept","authors":"J. Vachálek, L. Bartalský, Oliver Rovný, D. Šišmišová, Martin Morháč, Milan Lokšík","doi":"10.1109/PC.2017.7976223","DOIUrl":"https://doi.org/10.1109/PC.2017.7976223","url":null,"abstract":"This article presents the digital twin concept, which is an augmented manufacturing project created in close collaboration by SOVA Digital and the Institute of Automation, Measurement and Applied Informatics (ÚAMAI), of the Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava with the support of SIEMENS. The project is a technological concept focusing on the continuous optimization of production processes, proactive maintenance, and continuous processing of process data. This project is the basis for further work to promote the concept of Industry 4.0. for the needs of the industry subjects within Slovakia. Its basic goal is to support the existing production structures within the automotive industry and the most efficient use of resources by augmented production and planning strategies, such as the digital twin presented here.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401821","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":"Robust pitch attitude hold with MRAC for a nonlinear light combat aircraft model","authors":"Daniel Wagner, M. Hromčík","doi":"10.1109/PC.2017.7976191","DOIUrl":"https://doi.org/10.1109/PC.2017.7976191","url":null,"abstract":"In this paper, we implement a robust model reference adaptive control (MRAC) as part of an ongoing effort to demonstrate practical application of a nonlinear control system to the pitch-attitude hold of an aircraft model. We show that MRAC can improve transient performance and compensate changes in the performance characteristics of the aircraft mid-flight by evaluating an example where a change in center of gravity of the aircraft is coupled with decreased control effectiveness.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131032592","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":"Identification of n-link inverted pendulum on a cart","authors":"J. Königsmarková, M. Schlegel","doi":"10.1109/PC.2017.7976186","DOIUrl":"https://doi.org/10.1109/PC.2017.7976186","url":null,"abstract":"The identification procedure specially designed for an n-link inverted pendulum on a cart is presented. By the Lagrangian mechanics, the mathematical model of the n-link inverted pendulum is established initially. To fully model the system, the standard dynamic parameters which are some algebraic functions of geometric, inertial, and friction parameters are introduced. Because the dynamic model of the n-link inverted pendulum is linear with respect to these parameters, the ordinary and weighted least squares techniques can be applied to estimation their values and the corresponding standard deviations. Also, the exact algorithms for numerical differentiation used in the formation of the regression model are described in detail. Finally, the results from identification of the real triple inverted pendulum are presented.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121581381","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 distributed discrete-time Kalman Filtering in large linear time-invariant systems","authors":"A. Filasová, D. Krokavec","doi":"10.1109/PC.2017.7976229","DOIUrl":"https://doi.org/10.1109/PC.2017.7976229","url":null,"abstract":"The paper is concerned with the problem of distributed Kalman Filtering for discrete-time linear large-scale systems with decentralized sensors. Using the standard approach to the centralized Kalman filtering, the problem of distributed filtering is introduced, given the incidence of additive recurrence to realize such problem. The obtained solutions support the residual signal generation using Kalman filter innovations in the model-based fault detection design. The results, offering structures for fault detection filter realization, are illustrated with a numerical example to note the effectiveness of the approach.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125729","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}