{"title":"Dynamic modelling and control of wheeled mobile robots theory and experiment","authors":"M. Mehrabi, R. Cheng, A. Hemami","doi":"10.1109/CCA.1993.348329","DOIUrl":"https://doi.org/10.1109/CCA.1993.348329","url":null,"abstract":"Very little experimental investigation has been reported in the recent research in dynamic modelling and control of wheeled mobile robots (WMR). To address the issue of experimentation several prototype vehicles (CONCIC I to III) have been built to supplement the research program at the Centre for Industrial Control of Concordia University in this area. The paper concentrates on the latest development of CONCIC III. A control strategy is proposed for path tracking and its implementation. Some initial but promising results obtained from the dynamic model and experimental data are presented, showing the accuracy of the dynamic model as well as the effectiveness of the control algorithm.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799585","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 synthesis of classical and adaptive control","authors":"L. J. Brown, Sean P. Meyn","doi":"10.1109/CCA.1993.348212","DOIUrl":"https://doi.org/10.1109/CCA.1993.348212","url":null,"abstract":"In this paper we describe a new adaptive control algorithm which is specifically designed for for systems which are difficult to control. The models that we consider may exhibit nontrivial time variations; have significant delays; have nonminimum phase characteristics; and may be subject to measurement noise and plant disturbances. Our goal is to obtain robust control laws, and to simultaneously obtain good transient response and small steady state error. A two step procedure is taken. First, we design a linear controller which is based on some a priori knowledge of the plant. This controller incorporates predictions of future outputs which are obtained from online parameter estimates. It is argued that this makes the design of a robust controller easier than when predictions are not used. Secondly, the control law feeds back filtered estimates of the disturbance process, which are also obtained from the parameter estimator online. An optimal design technique is used to design an appropriate filter, thereby tuning the disturbance response of the closed loop system. A robotic welder at the Construction Engineering Research Laboratory in Champaign, Illinois is currently being used as a test bed for these theoretical results. Observations are described and future work is discussed.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310231","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":"Adaptive force/motion control of constrained robot manipulators","authors":"H. Yu, L. Seneviratne, S. Earles","doi":"10.1109/CCA.1993.348352","DOIUrl":"https://doi.org/10.1109/CCA.1993.348352","url":null,"abstract":"Following the line of the dynamic hybrid control method given by McClamroch and Wang (1988), two reduced, unconstrained robot models, in which the constraints are satisfied automatically, are introduced. An exponentially stable control law for both position tracking errors and force tracking errors is presented based on Lyapunov stability theory. When there exist robot dynamics parameter uncertainties, an adaptive control is proposed based on the previous control structure. The control law ensures the asymptotical convergence of the position tracking errors and boundedness of the force tracking errors.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130458263","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":"An experimental study of flexible joint robots with harmonic gearing","authors":"M. Bridges, D. Dawson, S. C. Martindale","doi":"10.1109/CCA.1993.348353","DOIUrl":"https://doi.org/10.1109/CCA.1993.348353","url":null,"abstract":"The control of robotic manipulators with joint flexibilities has become a much addressed problem as of late. The interest that has been stirred is mainly due to the wide use of harmonic drive gearing in robotic manipulators and the inherent joint compliance that they introduce. In this paper the authors present experimental results from a two degree of freedom robot with harmonic drive gearing. In addition, conclusions as to the major stumbling blocks preventing further advancement in this area are given.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132933063","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":"Adaptive inferential control of wood chip refiner","authors":"S. Kooi","doi":"10.1109/CCA.1993.348250","DOIUrl":"https://doi.org/10.1109/CCA.1993.348250","url":null,"abstract":"In the chip refining process, the measurement of primary output, the freeness, is often hindered by the limitation of the availability of reliable on line sensor and the long sampling time to obtain the test results. Adaptive inferential control method overcomes the above limitation by measuring the rapidly sampled secondary output and the result is inferred to primary output for feedback control or rejection of disturbance. The task is solved by online identification of two models with different sampling periods. One of them predicts the controlled output between sampling instances using actual values of secondary output which is currently at disposal, while the control synthesis is based on the other model which uses controlled output predicted by the first model. Using the proposed method, simulation results indicate that the control scheme is capable of rejecting the process disturbance in order to keep the freeness set point in the refining process.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319555","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":"Surge tank control in a cane raw sugar factory","authors":"S. Crisafulli, R. D. Peirce","doi":"10.1109/CCA.1993.348255","DOIUrl":"https://doi.org/10.1109/CCA.1993.348255","url":null,"abstract":"The control problem that is addressed in this paper is the minimisation of the rate of change of the secondary mixed juice flow in a cane raw sugar factory. This is a particularly important problem since the clarifier's efficiency is reduced by rapid flow rate variations with the ultimate result being a reduction in raw sugar quality. Previous techniques, which did not result in sufficiently high levels of performance, involved some form of feedback level control on each of the two surge tanks that precede the clarifier. The new solution that we present in this paper involves using feedforward techniques to control the existing surge tanks so that the available capacity is used in an efficient way. The new control scheme was implemented on existing hardware and achieved the desired level of performance.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132224608","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":"An adaptive excitation controller for synchronous generators: studies and experimental results at a power station","authors":"C. Brasca, V. Arcidiacono, S. Corsi","doi":"10.1109/CCA.1993.348272","DOIUrl":"https://doi.org/10.1109/CCA.1993.348272","url":null,"abstract":"In order to guarantee a desired value for the electromechanical mode damping of the power station-network system in all the possible operating conditions, a prototype of excitation adaptive controller was developed so as to identify in an explicit way the dynamics of interest and on the basis of this explicit identification to modify the additional feedback gains from power and speed. The dynamics of interest is modelled in an adequate way with a time discrete model autoregressive and exogenous of the third order. To identify the parameters of the model, following the variations in the process dynamics, recursive least square algorithm forgetting factor was used. The system is excited by a persistent random input. This exciting signal must lead to small variations on the output variables, because these variations must be accepted for the plant operation. The estimated parameters are used to adapt the additional feedback gains in order to reach the desired damping value. These gains are computed minimizing a cost function, which represents the control effort. The deterioration of the estimation caused by a large external perturbation is avoided using an opportune blindness mechanism. The global results reached both in laboratory tests and in field trials were very positive.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129336322","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":"Control loop performance monitoring","authors":"C. Lynch, G. Dumont","doi":"10.1109/CCA.1993.348237","DOIUrl":"https://doi.org/10.1109/CCA.1993.348237","url":null,"abstract":"Control loop monitoring can be used to improve the performance of processes in industry. The monitoring tools presented are concerned with reducing the output variance of regulation loops. As a result, three different estimators are used to determine the minimum achievable output variance, the time delay and the static input-output relationship of the process. These three properties can be used together or individually to provide insight into the process. Once the methods are introduced and their algorithms outlined, the monitoring tools are tested via computer simulation and data from industrial processes. These results show the success of the estimation methods and the benefits to be obtained from monitoring the process.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689385","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":"Adaptive nonlinear control of a chemical batch reactor","authors":"O. Akhrif, L. Saydy","doi":"10.1109/CCA.1993.348215","DOIUrl":"https://doi.org/10.1109/CCA.1993.348215","url":null,"abstract":"In this paper, a design methodology combining methods in so-called nonlinear differential geometric control with adaptive control is proposed. Nonlinear systems with parametric uncertainties are treated and a Lyapunov-based adaptive scheme is developed to deal with these uncertainties. As an application, the problem of temperature tracking in a batch reactor modeled by nonlinear equations with uncertain parameters is presented.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125219413","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":"Neural network based controllers for non-linear systems","authors":"D. Yan, M. Saif","doi":"10.1109/CCA.1993.348269","DOIUrl":"https://doi.org/10.1109/CCA.1993.348269","url":null,"abstract":"In this paper, we present two approaches for the control of an inverted pendulum on a cart. First, we use a combination of a neural network and a simple algorithm, where the neural network is responsible for ranking the current states while the algorithm decides the control action (+10N or -10N) applied. Simulation results show that this method converges at a faster rate than previous researchers' schemes. In the next approach, the ability of artificial neural networks (ANN) to generate nonlinear mapping has been utilized to supplement classical control techniques, to perhaps achieve better performance. We present a hybrid controller consisting of a neural network and classical control technique. The neural network was trained to predict nonlinearities in the system. Having this prediction, a two term control law was designed where one term cancels the nonlinear effects: enabling us to use linear control theory (e.g. pole placement, optimal control, etc.) to obtain the second term. To check the applicability of our method, we tested this scheme on the bilinear model of a paper making machine as well. In these cases, our simulation studies revealed that improvements to the behavior of these systems could be achieved.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124975151","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}