Two seemingly independent streams of control systems research have examined logarithmic sensitivity integrals and limiting linear quadratic optimal control problems. These apparently diverse problems yield some result...
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ISBN:
(纸本)0780366387
Two seemingly independent streams of control systems research have examined logarithmic sensitivity integrals and limiting linear quadratic optimal control problems. These apparently diverse problems yield some results with an identical right hand side. The main contribution of the paper is to directly explain the commonality between these streams. This explanation involves the use of Parseval's theorem to, derive tight inequality bounds between frequency domain logarithmic sensitivity integrals, and the achievable quadratic performance of a linear time invariant system.
In industrial control, computer control is widely used, which makes the closed-loop system be a sampled-data one containing continuous time and discrete time signals. In contrast to the traditional approximation metho...
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In industrial control, computer control is widely used, which makes the closed-loop system be a sampled-data one containing continuous time and discrete time signals. In contrast to the traditional approximation methods, sampled-data synthesis is a direct digital controller design procedure without approximation. Sampled-data control which is capable of stabilizing general nonlinear systems with the intersample behavior taken into account are of great current interest. In the paper robust sampled-data control for a class of nonlinear parametric uncertain systems with constraints on the output imposed by time-domain performances is proposed. Based on the result of robust asymptotic stability of sampled-data systems with constraints on the state, robust sampled-data control for a class of uncertain nonlinear systems with constraints on the output is developed. The problem is formulated for vehicle steering control with constraint on the side slip angle of body. The result is described by some matrix inequalities which could be solved by a proposed iterative algorithm based on the linear matrix inequality technique. Finally, a numerical example is presented to show the result.
The application of a nonlinear predictive controller in the cascade control structure of a boost converter is investigated. The neuro-predictive controller is realized as a nonlinear optimizer, using the Levenberg-Mar...
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The application of a nonlinear predictive controller in the cascade control structure of a boost converter is investigated. The neuro-predictive controller is realized as a nonlinear optimizer, using the Levenberg-Marquardt unconstrained optimization procedure. For the prediction of future process responses, two MLP neural networks are used. One network is used for modeling the converter dynamics and the other for online estimation of the converter's input voltage. This structure ensures good system performance in all operating regions and inherent compensation of ripples in the converter's input current caused by variations of the input voltage. The advantages of the proposed control structure are demonstrated through experimental comparison with a linear GPC with manually adjusted feedforward compensator.
作者:
Jasmin VelagicZoran VukicEdin OmerdicUniversity of Sarajevo
Faculty of Electrical Engineering Skenderija 70 BH-71000 Sarajevo Bosnia and Herzegovina fax : (+387 71) 654 972 University of Zagreb
Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 HR-10000 Zagreb Croatia fax : (+385 1) 612 98 09 University of Tuzla
Faculty of Electrical and Mechanical Engineering Franjevacka 2 BH-75000 Tuzla Bosnia and Herzegovina
We develop in this paper an adaptive fuzzy gain autopilot for ship track-keeping. This autopilot is composed of Sugeno fuzzy type autopilot in an ordinary feedback loop and adjustable scaling factors mechanism in an a...
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We develop in this paper an adaptive fuzzy gain autopilot for ship track-keeping. This autopilot is composed of Sugeno fuzzy type autopilot in an ordinary feedback loop and adjustable scaling factors mechanism in an additional feedback loop. The adjustment mechanism represents a fuzzy controller that changes scaling factors of the base fuzzy autopilot. The control system for the track-keeping is completely described. For the track-keeping problem, the maneuver of way-point turning and ship guiding through a complex path (trajectory) are presented. The influence of sea current and wave disturbances on track-keeping performance was also considered. We first present simulation results obtained by the Sugeno fuzzy type autopilot. Then, we compare those results with ones obtained by an adaptive fuzzy autopilot.
We propose a new method of adaptive control on manifolds for nonlinear plants in the full-state feedback case using radial basis function (RBF) neural networks. We introduce a procedure for synthesis of adaptation alg...
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ISBN:
(纸本)0780366387
We propose a new method of adaptive control on manifolds for nonlinear plants in the full-state feedback case using radial basis function (RBF) neural networks. We introduce a procedure for synthesis of adaptation algorithms based on associated performance criteria. We analyze applicability of the algorithms developed for a quadratic performance criterion.
In this article a general framework for stable predictive controllers is derived. The basis for the unification are closed-loop poles. It is shown that many existing stabilising predictive controllers can be obtained ...
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In this article a general framework for stable predictive controllers is derived. The basis for the unification are closed-loop poles. It is shown that many existing stabilising predictive controllers can be obtained for particular settings. Several kinds of the quadratic cost function can be minimised. It is shown that for a special cost function it is possible to construct a predictive controller with the following features: (i) it produces the same control actions as a given known controller in the unconstrained case, (ii) it introduces a new degrees of freedom that can be used for constraints handling.
This paper present a new effective algorithm for the optimal realization of state estimate feedback controller structures for discrete time systems subject to finite-word-length constraints. The problem is formulated ...
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This paper present a new effective algorithm for the optimal realization of state estimate feedback controller structures for discrete time systems subject to finite-word-length constraints. The problem is formulated as a nonlinear programming to provide an easy and efficient optimization tool to solve such a complex problem. Simulation results of the optimum realizations of state estimate feedback controller structures are presented to illustrate the effectiveness of the proposed strategy.
We study the finite word length (FWL) implementation of digital controller structures with sparseness consideration. A FWL stability measure is derived, taking into account the number of trivial elements in a controll...
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We study the finite word length (FWL) implementation of digital controller structures with sparseness consideration. A FWL stability measure is derived, taking into account the number of trivial elements in a controller realization. The controller realization that maximizes a lower bound of this measure is first obtained, and a stepwise algorithm is then applied to make the realization sparse. A test case involving a dual wrist assembly shows that the proposed design procedure yields a computationally efficient controller realization with good FWL closed-loop stability performance.
The paper deals with proving of robustness for a few simple control methods often used in robotics. These methods are: two variants of variable-structure control, a control method with an auxiliary controller develope...
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The paper deals with proving of robustness for a few simple control methods often used in robotics. These methods are: two variants of variable-structure control, a control method with an auxiliary controller developed by Hsia (1989) and a fuzzy control. Robustness of the proposed continuous-path control methods is evaluated in the case of planar articulated robot moving along two common used trajectories: straight-line and circular. Computer simulations performed with load change, added external disturbance and white measurement noise proved satisfying robustness of all presented robot control methods.
The PI controllers provide very good trade-off between robustness and performance. However, in certain applications the control performance of the PI controller is not sufficient. In order to increase control performa...
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The PI controllers provide very good trade-off between robustness and performance. However, in certain applications the control performance of the PI controller is not sufficient. In order to increase control performance, more complicated controller structure has to be used. In this paper it has been shown that disturbance rejection properties can be significantly improved by simply adding the first-order filter within the classical PI controller structure.
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