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.
control is a subject that heavily relies on mathematics and physics. High level theoretical treatments are more easily understood and digested when accompanied by concrete examples. In this study, two important phenom...
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control is a subject that heavily relies on mathematics and physics. High level theoretical treatments are more easily understood and digested when accompanied by concrete examples. In this study, two important phenomena, namely linearization and integration are chosen as two cases that are important in industrial processes. Examples of teaching approaches are demonstrated around these two cases. Some simple examples are chosen, for easy demonstration, without the loss of generality. The approaches are believed to be effective in teaching engineering students and especially engineers working in industry.
This paper deals with the open issue of finding a stable element in an affine polynomial family, a difficult design problem occurring when stabilizing a given SISO plant with a fixed order compensator whose parameters...
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ISBN:
(纸本)0780365666
This paper deals with the open issue of finding a stable element in an affine polynomial family, a difficult design problem occurring when stabilizing a given SISO plant with a fixed order compensator whose parameters are subject to interval constraints. Using a rank-one LMI formulation of the problem, a tractable linearization heuristic is developed, which proves efficient in practice, as illustrated by intensive numerical experiments.
A 3-phase, 30 kVA, 4 pole, 1800 rpm superconducting generator is built and tested. The field winding of the rotor is a racetrack type with NbTi superconducting wire. The rotor is composed of two dampers and a liquid h...
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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 ...
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This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parame...
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This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parameters and their rates of variation are assumed to belong to a given polyhedral region. Based on a parameter-dependent Lyapunov function, which is quadratic in the uncertain parameters, we develop an LMI method for designing a linear stationary, asymptotically stable filter, which ensures a prescribed performance in a H ∞ sense.
When process non-linearities are responsible for the deterioration of linear controller performances, usually the linear approximation of the model is updated as the operating conditions change. The alternative approa...
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When process non-linearities are responsible for the deterioration of linear controller performances, usually the linear approximation of the model is updated as the operating conditions change. The alternative approach, which is used in this paper, is to directly incorporate the non-linear phenomenological simulator of the process into the controller. To assess the method, the control of a cooling zone of an iron oxide pellet-sintering furnace, a multivariable process containing strong gain variations, has been simulated. The structure of the predictive controller is based on the internal model control scheme. The observer part of the control loop uses the non-linear phenomenological dynamic model of the process, while the controller part uses either the steady-state or the dynamic non-linear model for output predictions.
A 3-phase, 30 kVA, 4 pole, 1800 rpm superconducting generator is built and tested. The field winding of the rotor is a racetrack type with NbTi superconducting wire. The rotor is composed of two dampers and a liquid h...
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A 3-phase, 30 kVA, 4 pole, 1800 rpm superconducting generator is built and tested. The field winding of the rotor is a racetrack type with NbTi superconducting wire. The rotor is composed of two dampers and a liquid helium container in which the field poles reside. The space between the outermost damper and the container is vacuum insulated. To continuously transfer the liquid helium from the stationary dewar into the rotor and return the helium gas conversely, a special coupling is installed. The stationary coupling is connected to the rotor through a ferrofluid seal. The open circuit characteristic (OCC) and short circuit characteristic (SCC) are obtained. Also, the test results under the light load (up to 3.6 kW) are given. From the design stage, 2-D FE analysis coupled with the external circuit has been performed. The external circuit includes the end winding resistance and reactance as well as two dampers. When compared with the test data, the FE analysis results show a very good agreement.
Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristi...
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Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.
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