In this paper a discrete time feedback strategy for the control of a de-de Buck converter is presented. For the design of the controller a nonlinearcontrol technique based on differential algebraic methods is applied...
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ISBN:
(纸本)0780339363
In this paper a discrete time feedback strategy for the control of a de-de Buck converter is presented. For the design of the controller a nonlinearcontrol technique based on differential algebraic methods is applied. The resulting controller produces an input-output linear stable system. Two main aspects have to be highlighted from the approach presented here: firstly, a nonlinear discrete-time model for the Buck converter is used;secondly, an inductor current observer (estimator), with linear error dynamic, is implemented eliminating the need of a series resistor.
In this paper, a discrete time feedback strategy for the control of a DC-DC buck power converter is presented. For the design of the controller, a nonlinearcontrol technique based on differential algebraic methods is...
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In this paper, a discrete time feedback strategy for the control of a DC-DC buck power converter is presented. For the design of the controller, a nonlinearcontrol technique based on differential algebraic methods is applied. The resulting controller produces an input-output linear stable system. Two main aspects have to be highlighted from the approach presented here: firstly, a nonlinear discrete-time model for the buck power converter is used; and secondly, an inductor current observer (estimator) with linear error dynamic is implemented, eliminating the need for a series resistor.
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for non-linear system. By applying the scheme to a polymeric reaction process, the simulation results show th...
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ISBN:
(纸本)0818673524
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for non-linear system. By applying the scheme to a polymeric reaction process, the simulation results show that it has not only good tracking ability and convergence but also better parameter robustness.
The design of the ADPCM signal coding system can be formalized by posing the problem as a two-input one-output nonlinearcontrol problem with a certain output objective. This problem can be solved using nonlinear stat...
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The design of the ADPCM signal coding system can be formalized by posing the problem as a two-input one-output nonlinearcontrol problem with a certain output objective. This problem can be solved using nonlinear state-variable feedback in conjunction with nonlinear state variable estimation (nonlinearobserver). It has been shown in previous work that the extended Kalman filter does not perform adequately in such a case. In this paper we present an alternate approach to designing a nonlinearobserver by specifying the stability properties of the estimator error system first and then considering performance as a secondary objective. This work is still in the conceptual stages but early results appear promising.
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for nonlinear system. By applying the scheme to a polymeric reaction process, the simulation results show tha...
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This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for nonlinear system. By applying the scheme to a polymeric reaction process, the simulation results show that it has not only good tracking ability and convergence but also better parameter robustness.
This paper deals with the design of a nonlinearobserver for the inverted pendulum. The observer uses the standard structure of the linear observer with the linear model replaced by a nonlinear model. Nominal observer...
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This paper deals with the design of a nonlinearobserver for the inverted pendulum. The observer uses the standard structure of the linear observer with the linear model replaced by a nonlinear model. Nominal observer gains are determined from a linearised model. This model is also used to find a compromise between robustness and performance. The stability of the observer is then discussed and conditions for the stability of the observer are given. The results are illustrated by simulation and experiments on a real pendulum.
While observerdesign is well understood and widely used for linear systems, extensions to nonlinear systems have lacked generality. Motivated by fluid dynamics, this paper shows that the use of so-called Euler coordi...
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While observerdesign is well understood and widely used for linear systems, extensions to nonlinear systems have lacked generality. Motivated by fluid dynamics, this paper shows that the use of so-called Euler coordinates in general nonlinear, non-autonomous systems allows major simplifications such as a superposition principle, and leads to new analysis and design methods. A system's dynamic equations may be systematically shaped through a change of metric based on the available measurements, rather than by explicit error feedback. This in turn leads to new deterministic observerdesign techniques for general nonlinear non-autonomous systems.
In this paper we study a class of nonlinear systems with unknown inputs for which nonlinearobservers with linearizable error dynamics in appropriate coordinates can be designed. Various conditions for accomplishing t...
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In this paper we study a class of nonlinear systems with unknown inputs for which nonlinearobservers with linearizable error dynamics in appropriate coordinates can be designed. Various conditions for accomplishing this task are stated. The observation scheme is then utilized as a mean for model based monitoring and failure diagnosis within the system. Selection of threshold value with reliability is discussed. Finally, the paper concludes with examples, illustrating applicability of the reported results in linear and nonlinear systems.
Geometric techniques of controller design for nonlinear systems have enjoyed great success. A serious shortcoming, however, has been the need for access to full-state feedback. This paper addresses the issue of state ...
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Geometric techniques of controller design for nonlinear systems have enjoyed great success. A serious shortcoming, however, has been the need for access to full-state feedback. This paper addresses the issue of state estimation from limited sensor measurements in the presence of parameter uncertainty. An adaptive nonlinearobserver is suggested for Lipschitz nonlinear systems and the stability of this observer is shown to be related to finding solutions to a quadratic inequality involving two variables. A co-ordinate transformation is used to reformulate this inequality as a Linear Matrix Inequality. A systematic algorithm is presented which checks for feasibility of a solution to the quadratic inequality and yields an observer whenever the solution is feasible. The state estimates then are guaranteed to converge to zero asymptotically. The convergence of the parameters, however, is determined by a persistence-of-excitation type constraint.
This paper suggests methods for designing fuzzy state controllers and fuzzy state observers based on TSK fuzzy models which approximate complicated nonlinear systems to any degree of accuracy. First, a designing metho...
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ISBN:
(纸本)0780324625
This paper suggests methods for designing fuzzy state controllers and fuzzy state observers based on TSK fuzzy models which approximate complicated nonlinear systems to any degree of accuracy. First, a designing method of fuzzy state controllers, guaranteeing that the poles of the fuzzy control systems with fuzzy state controllers are to be desired ones, is suggested. Next, a designing method of fuzzy state observers, guaranteeing that the dynamics of state error vector have the desired poles, is suggested. Finally, fuzzy control systems with fuzzy state controllers and observers are constructed and it is showed that the so-called separation property of the observer-controller design procedure is satisfied.
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