Standard genetic algorithms (SGAs) are investigated to optimise discrete-time proportional-integral-derivative (PID) con- troller parameters, by three tuning approaches, for a multivariable glass furnace process w...
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Standard genetic algorithms (SGAs) are investigated to optimise discrete-time proportional-integral-derivative (PID) con- troller parameters, by three tuning approaches, for a multivariable glass furnace process with loop interaction. Initially, standard genetic algorithms (SGAs) are used to identify control oriented models of the plant which are subsequently used for controller optimisa- tion. An individual tuning approach without loop interaction is considered first to categorise the genetic operators, cost functions and improve searching boundaries to attain the desired performance criteria. The second tuning approach considers controller parameters optimisation with loop interaction and individual cost functions. While, the third tuning approach utilises a modified cost function which includes the total effect of both controlled variables, glass temperature and excess oxygen. This modified cost function is shown to exhibit improved control robustness and disturbance rejection under loop interaction.
作者:
HUISMAN, HSystems and Control Group
Department of Mechanical Engineering and Marine Technology Delft University of Technnology Delft Netherlands
Multiphase series-resonant (SR) power converters provide a flexible way to transform power between a utility grid and a multiphase load or source. The current implementations all suffer from a high component count, wh...
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Multiphase series-resonant (SR) power converters provide a flexible way to transform power between a utility grid and a multiphase load or source. The current implementations all suffer from a high component count, which makes the use of these converters unattractive from an economical point of view. A new topology for multiphase SR converters has been proposed in the literature in a simulation context. This topology uses half the number of power semiconductors compared to the existing multiphase SR converters. The present paper addresses the implementation of the new topology in a prototype converter. The old and new topologies are presented. The operation of the new topology is explained. In the new topology the resonant circuit is grounded at one side, which compared to the old topology imposes a restriction on the operation. The paper shows both simulation data and measured waveforms. It is explained that the economical gain due to the reduction in component count is offset by a lower power rating. The paper finishes with conclusions and acknowledgments.
This paper provides a solution of the mixed H-2/H-infinity problem with reduced order controller for time-varying systems in terms of solvability of differential linear matrix inequalities and rank conditions, includi...
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This paper provides a solution of the mixed H-2/H-infinity problem with reduced order controller for time-varying systems in terms of solvability of differential linear matrix inequalities and rank conditions, including a derailed discussion of how to construct a controller. Immediate specialization leads to a solution of the full order problem and the mixed H-2/H-infinity problem for linear systems whose description depends on an unknown but, in real-time, measurable time-varying parameter. As known for the H-infinity problem, we completely resolve the quadratic mixed H-2/H-infinity problem (under certain hypotheses on the parameter dependence) by reducing it to the solution of finitely many algebraic linear matrix inequalities. However, we also point out directions of how to overcome the conservatism introduced by using constant solutions of the differential inequalities. Finally, we clarify that a simple specialization leads to a linear matrix inequality approach to the pure H-2 problem for general LTI systems, and we reveal how to compute the optimal value.
The development and experimental evaluation of stabilizing control schemes for a continuous isothermal evaporative pilot crystallizer, equipped with on-line crystal size distribution (CSD) sensors and a system for fin...
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The development and experimental evaluation of stabilizing control schemes for a continuous isothermal evaporative pilot crystallizer, equipped with on-line crystal size distribution (CSD) sensors and a system for fines removal, are discussed. A first-principles modeling procedure is followed to derive models for the crystallizer and the CSD sensors. An output error optimization procedure is applied to estimate unknown empirical parameters of the process model with experimental process data. The experimental results reveal a strong influence of the fines removal rate on CSD dynamics. Two stabilizing control schemes are presented. The first is a simple proportional output feedback scheme which uses information on the number of fines to manipulate the fines removal rate. Experimental results indicate that sufficient stability and dampening can be achieved with this controller. The second scheme is an observer-based control scheme in which information on the actual process state is used to stabilize the CSD by manipulating the fines removal rate. Simulation results demonstrate that this state feedback approach exposes better performance compared to the output feedback approach.
Equation error (or linear regression) models are known to inherently require the a priori choice for specific signal variables to be considered as regressand and/or regressor. This implies that a model set should be-a...
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Equation error (or linear regression) models are known to inherently require the a priori choice for specific signal variables to be considered as regressand and/or regressor. This implies that a model set should be-a priori-restricted in some way in order to define an acceptable identification problem. In the case of approximate identification (i.e. the system to be modelled is not contained in the model set), this restriction acts as a design variable, with the identified models being dependent on its specific choice. In this paper the necessity of this restriction is quantified by the property of discriminability, i.e. the ability of an identification criterion to distinguish between all the different models in a model set. Employing a deterministic, signal-oriented framework, several sets of sufficient conditions are derived for model sets to be discriminable by a least squares identification criterion. To this end use is made of polynomial model representations in two shift operators. Although it is of a different nature, the problem discussed is shown to be closely related to the problem of constructing identifiable parametrizations for sets of rational transfer functions. It is shown that the pseudo-canonical or overlapping parametrizatian of all transfer functions with fixed McMillan degree constitutes a nonoverlapping set of equation error models that is discriminable by a least squares identification criterion.
The behaviour of manipulators equipped with hydraulic actuators is dominated by the dynamics of the hydraulics. The aim of an inner/outer-loop control structure is to mask these hydraulic dynamics with an inner-loop. ...
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The behaviour of manipulators equipped with hydraulic actuators is dominated by the dynamics of the hydraulics. The aim of an inner/outer-loop control structure is to mask these hydraulic dynamics with an inner-loop. Constructing the inner-loop by using the inverse of the actuator dynamics, or by placing the poles of the actuator system, is fundamentally different. An analysis of these two options concludes that a pole placement is the best choice. First results of an actual implementation of a proposed method on an industrial hydraulic drive system shows the practical relevance of this controller.
A model-based controller generally works better with the model than with the modelled plant due to the modelling error. This difference between the performances can be made small by selecting a model that is accurate ...
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A model-based controller generally works better with the model than with the modelled plant due to the modelling error. This difference between the performances can be made small by selecting a model that is accurate at the closed-loop relevant frequencies. In this paper it is shown that an iterative approach of identification and control design can lead to a model that is much better suited for feedback design than a model resulting from an unweighted open-loop identification. In this iteration each identification is performed such that a certain closed-loop criterion function is minimized. This is accomplished by closed-loop identification with persistent set-point excitation and a proper signal filtering Each control design step employs the latest identified model to construct an LOG compensator. The performance requirements are gradually increased during the iteration.
As circuits continue to shrink in size, noise has emerged as a critical challenge in achieving optimal performance. Stochastic resonance in logic circuits offers an innovative approach to harness noise constructively;...
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Recently, there has been a surge of research on a class of methods called feedback optimization. These are methods to steer the state of a control system to an equilibrium that arises as the solution of an optimizatio...
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作者:
VANDERHELM, FCTMan-Machine Systems Group
Laboratory for Measurement and Control Department of Mechanical Engineering Delft University of Technology Delft The Netherlands
The finite element method described in this study provides an easy method to simulate the kinetics of multibody mechanisms. It is used in order to develop a musculoskeletal model of the shoulder mechanism. Each releva...
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The finite element method described in this study provides an easy method to simulate the kinetics of multibody mechanisms. It is used in order to develop a musculoskeletal model of the shoulder mechanism. Each relevant morphological structure has been represented by an appropriate element. For the shoulder mechanism two special-purpose elements have been developed: a SURFACE element representing the scapulothoracic gliding plane and a CURVED-TRUSS element to represent muscles which are wrapped around bony contours. The model contains four bones, three joints, three extracapsular ligaments, the scapulothoracic gliding plane and 20 muscles and muscle parts. In the model, input variables are the positions of the shoulder girdle and humerus and the external load on the humerus. Output variables are muscle forces subject to an optimization procedure in which the mechanical stability of the glenohumeral joint is one of the constraints. Four different optimization criteria are compared. For 12 muscles, surface EMG is used to verify the model. Since the optimum muscle length and force-length relationship are unknown, and since maximal EMG amplitude is length dependent, verification is only possible in a qualitative sense. Nevertheless, it is concluded that a detailed model of the shoulder mechanism has been developed which provides good insight into the function of morphological structures.
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