This article studies the telegrapher's equations with boundary port variables. Firstly, a link is made between the telegrapher's equations and a skew-symmetric linear operator on a spatial domain. Associated t...
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This article studies the telegrapher's equations with boundary port variables. Firstly, a link is made between the telegrapher's equations and a skew-symmetric linear operator on a spatial domain. Associated to this linear operator is a Dirac structure which includes the port variables on the boundary of this spatial domain. Secondly we present all partitions of the port variables into inputs and outputs for which the state dynamics is dissipative. Particularly we recognize the possible input-outputs for which the system is impedance energy-preserving, i.e., as well as scattering energy-preserving, i.e., Additionally, we show how to represent the corresponding system as an abstract infinite-dimensional system, i.e., and.
This paper presents a fault identification approach for a boundary controlled wave equation with dynamic boundary conditions. The faulty system is subject to an additive time-varying actuator fault and an unknown in-d...
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This paper presents a fault identification approach for a boundary controlled wave equation with dynamic boundary conditions. The faulty system is subject to an additive time-varying actuator fault and an unknown in-domain disturbance. These signals are assumed to be the solution of a finite-dimensional signal model so that polynomial and trigonometric faults as well as disturbances can be taken into account. By making use of integral transformations an algebraic expression is derived to obtain the fault from the known input and output in finite time. The kernels determining the integral transformations are obtained by solving the so-called kernel equations. This problem is traced back to the flatness-based realization of a setpoint change for an ODE-PDE casacade. From this, a condition for fault identification is derived. A simulation example demonstrates the proposed approach.
While in the first paper of this series of two, optimal jacket fluid temperature control profiles have been derived for a family of dispersive tubular chemical reactors, the performance of these optimal profiles is fu...
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While in the first paper of this series of two, optimal jacket fluid temperature control profiles have been derived for a family of dispersive tubular chemical reactors, the performance of these optimal profiles is further assessed in this second part. First, the performance of the optimal bang-bang control is compared with that of a more easily implementable constant jacket fluid temperature and secondly, the transient behaviour is studied, when the steady-state optimal control law is applied from the reactor start-up.
Due to the lack of reliable and/or inexpensive hardware sensors in cement grinding, development of software sensors is particularly significant for control and monitoring purposes. In this study, a nonlinear distribut...
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Due to the lack of reliable and/or inexpensive hardware sensors in cement grinding, development of software sensors is particularly significant for control and monitoring purposes. In this study, a nonlinear distributed-parameter, full-horizon observer is designed, which allows the contents of the mill to be described in terms of hold-up and particle size distribution. When measurements are available at relatively high sampling rates and at, at least, two spatial locations along the mill, fast observer convergence is obtained. However, in practical situations where measurements can be collected at the mill outlet only and with a relatively low sampling rate, the observer convergence deteriorates and, as the sampling rate decreases, performance becomes similar to an asymptotic (simulation) observer. The robustness of the software sensor can be improved by on-line identification of some time-varying parameters, such as the material grindability. These several concepts are discussed and tested in simulation based on a realistic process model.
Two types of algoritms of optimization of controlled processes described by semi-linear hyperbolic equations systems are suggested in this paper. The first type of algorithms is based on the analogue of L.S. Pontryagi...
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Two types of algoritms of optimization of controlled processes described by semi-linear hyperbolic equations systems are suggested in this paper. The first type of algorithms is based on the analogue of L.S. Pontryagin's needle variation and its convergence is realized in the sense of tendency to the maximum principle. The second type of algorithms is constructed basing on the analogue of inner variation. This algorithm is considered for hyperbolic systems with additional integral constraints. Neither techniques of Lagrange multipliers nor ideas of penalty functions are used, although they are usually applied to solve optimization problems with additional constraints. The algorithm converges to new necessary conditions of optimality.
A self-organizing, fuzzy controller is proposed for the adaptive control of a tubular reactor. Its design is based on a heuristic approach and it involves two functions: creating and modifying the control rules for a ...
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A self-organizing, fuzzy controller is proposed for the adaptive control of a tubular reactor. Its design is based on a heuristic approach and it involves two functions: creating and modifying the control rules for a fuzzy logic controller and adjusting the universe of discourse based on system performance observed. The proposed controller is compared against a conventional PID controller which is tuned by two methods: either by the process reaction tuning method or by minimising the IAE time integral performance criterion. The proposed self-organizing controller, exhibits a superior performance in comparison with the PID tuned through the process and an equivalent, if not better performance than the PID controller whose parameters are adjusted optimally for minimising the IAE dynamic criterion.
The concept of uniform power stability is studied in detail. A characterization of the class of linear time-varying infinite-dimensional discrete-time systems for which uniform power stability implies uniform power eq...
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The concept of uniform power stability is studied in detail. A characterization of the class of linear time-varying infinite-dimensional discrete-time systems for which uniform power stability implies uniform power equistability is given.
While model-based controllers have been used successfully to control paper machines and other processes dominated by time delay, matching the model to the process gives poor load regulation over lag-dominant processes...
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While model-based controllers have been used successfully to control paper machines and other processes dominated by time delay, matching the model to the process gives poor load regulation over lag-dominant processes. An important class of lag-dominant processes including heat exchangers and distillation columns consists of distributed lags. A PID controller having time-delay compensation, while functionally similar to a model-based controller, is a much better load regulator, and twice as effective as a conventional PID controller on these processes. It is applied in this paper to regulate steam superheat temperature.
This paper presents an adaptive model reference algorithm for a linear distributedparameter system with input boundary control and output boundary reference. The control and adaptation laws are based a model referenc...
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This paper presents an adaptive model reference algorithm for a linear distributedparameter system with input boundary control and output boundary reference. The control and adaptation laws are based a model reference adaptive control approach. This controller is applied to a tubular reactor model with unknown kinetic parameters. Simulation results are shown for set-point changes, variation of kinetic parameters and input perturbation.
We show that the ADI method for a class of infinite-dimensional Lyapunov equations with appropriately chosen shift parameters converges exponentially in the square root. The main assumption on the class of Lyapunov eq...
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We show that the ADI method for a class of infinite-dimensional Lyapunov equations with appropriately chosen shift parameters converges exponentially in the square root. The main assumption on the class of Lyapunov equations is that the main operator generates an analytic semigroup. Rather than directly analyzing the ADI algorithm, we instead use that the ADI error is bounded by the error made by applying quadrature to the inverse Laplace transform integral of the output map and we analyze the error made by this quadrature approximation.
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