Design Management and Manufacturing System means, in our perception, a concurrent approach to couple mechanization and automation synergies for a better Enterprise's reactivity in these basic domains of a Computer...
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Design Management and Manufacturing System means, in our perception, a concurrent approach to couple mechanization and automation synergies for a better Enterprise's reactivity in these basic domains of a Computer Integrated Manufacturing and Engineering Iopen System Architecture. Our reference CIME model _methodology and technical information_ reduced to machining and autonlation design functions, maintenance and manufacturing shop floor operation and technical management, is supported by PCTE-OMS (Portable Common Tool Environment - Object Management System) standard to integrate and not simply interconnect different heterogeneous CAX (Computer Aided X…) systems involved in this problem.
This work deals with the relaxation of one |of the basic assumptions in the modelreference approach to the adaptive control of unknown linear SISO systems, namely, the assumption concerning the a-priori knowledge of ...
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This work deals with the relaxation of one |of the basic assumptions in the modelreference approach to the adaptive control of unknown linear SISO systems, namely, the assumption concerning the a-priori knowledge of the relative degree. The elimination of such an assumption allows a unified treatment of both the unmodeled dynamic case and the standard case in which the plant order is known. This problem has been faced by designing a scheme which performs an adaptive pole assignment. The main feature of this scheme consists of the fact that the invariant referencemodel is of reduced order, while the number of the poles to be assigned results equal to the unknown order of the plant. The resultant adaptive control structure turns out to be globally stable.
Given a regular, linear descriptor system Ex = Fx + Gu, y = Hx with transfer function T(s) we consider the problem of designing a proportional state feedback u = Lx + M-upsilon with M non-singular such that the result...
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Given a regular, linear descriptor system Ex = Fx + Gu, y = Hx with transfer function T(s) we consider the problem of designing a proportional state feedback u = Lx + M-upsilon with M non-singular such that the resulting system is regular and its transfer function equals a prespecified rational matrix W(s). Necessary and sufficient conditions are given for the existence of such a feedback, as well as for the internal properness and/or stability of the resulting system. These conditions are interpreted in terms of the zeros of T(s) and W(s). A simple design procedure is proposed which consists of finding a constant solution to a polynomial matrix equation.
A nonlinear model-based scheme is developed for product property control in industrial gas phase polyethylene reactors. The controller is designed for instantaneous melt index and density regulation over a range of pr...
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A nonlinear model-based scheme is developed for product property control in industrial gas phase polyethylene reactors. The controller is designed for instantaneous melt index and density regulation over a range of products, and for control during grade changeovers. The feedback controller manipulates the hydrogen and butene feed rates to force the product properties to follow a desired trajectory. During grade changeovers, these trajectories are provided by the results of off-line dynamic optimization studies. From these studies, it was determined that the reactor temperature, bleed stream flow rate, catalyst feed rate and polymer bed level can be used to improve grade changeovers. The open-loop optimal policies for these variables are implemented as part of the changeover strategy. The nonlinear model-based feedback controller design is based upon global input/output linearization methods. Mismatch between the model and the process is removed using an extended Kalman filter. Through simulations on a complex mechanistic model of the process, it is shown that the controller peforms well for both regulatory and servo-control. The simplicity of the control algorithm makes it an excellent candidate for industrial application.
This paper presents a completely decentralized indirect adaptive control scheme for interconnected systems. The general approach based on the interconnections output estimation using the polynomial series offers a gen...
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This paper presents a completely decentralized indirect adaptive control scheme for interconnected systems. The general approach based on the interconnections output estimation using the polynomial series offers a general solution for any class of minimum phase interconnected subystems described Input/Output form. The indirect control scheme uses a least squares identification with dead zone and normalization. No structural constraints on the interconnections are necessary to ensure the global system boundedness. It is shown that the stability conditions based on weak interconnections are relaxed. The results are illustrated numerically.
Generalized Predictive control methods are now used as performant control laws in a lot of applications, providing good results in term of rapidity, disturbances and errors cancellations. But even if the polynomial ve...
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Generalized Predictive control methods are now used as performant control laws in a lot of applications, providing good results in term of rapidity, disturbances and errors cancellations. But even if the polynomial version of G.P.C. enables to observe in frequential domains the stability of the resulting controlled system, there is up to now no particular algorithm that gives automatically and without any help of the user the best set of tuning parameters in term of robustness and stability of the predictive control law. We propose in this paper an original and automatic design of these parameters in the case of a two loops predictive cascaded structure including for the inner loop a G.P.C. algorithm with multiple referencemodels. The method aims at providing, first the inner loop, then the external controller, with the two best sets of parameters, even if the user has no particular knowledge about predictive control. The resulting control law is consequently elaborated without any help, remains robust and stable and corresponds to the desired performances. At the end this automatic design is tested for the speed and position control of a brushless motor used in C.N.C. machines.
Adaptive systems have been exported to electronic applications, especially to telecommunications circuitry. The exported theory is mainly based on recursive or iterative methods. Continuous-time adaptive systems have ...
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Adaptive systems have been exported to electronic applications, especially to telecommunications circuitry. The exported theory is mainly based on recursive or iterative methods. Continuous-time adaptive systems have been scarcely used for Electronic Design, especially for Consumer Electronics, a field with a primary industrial interest. At present, much theory has been developed and many problems related with the application of this theory have been studied: this makes possible to export their results to industrial consumer electronics field with full confidence. After a revision of the state-of-the-art, three well-known electronic circuits (audio power amplifiers) with different complexity are selected and analyzed in order to experiment applications of adaptive systems. Both Lyapunov and Hyperstability based theories (from reduced order models) are studied and an alternative to the classical electronic design is proposed. The performances of different adaptive structures are experimentally evaluated. Finally, some conclusions obtained either from physical implementation of the chosen adaptive systems or from the interpretation of experimental results are presented.
The design of a robust nonlinear feedback controller is analyzed for temperature control of continuous stirred tank reactors (CSTRs)which have strong nonlinearities and steady-state multiplicities. The present method ...
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The design of a robust nonlinear feedback controller is analyzed for temperature control of continuous stirred tank reactors (CSTRs)which have strong nonlinearities and steady-state multiplicities. The present method treats the original nonlinear system as it is without transforming into an equivalent linear system. The controller is robust to modelling errors and random disturbances occurring in the system. The controller design is also analyzed for situation when the kinetics, activation energy and heat of reaction are unknown and also only limited state-variables measurements are available.
Two adaptive control strategies using pattern-based performance feedback are studied. Both strategies are based on an analysis of patterns exhibited in the recent history of the controller error and focus on adaptatio...
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