The lack of the filtering effect due to gear reduction in a direct-drive system necessitates the consideration of the full dynamics of the system for high performance control. This makes torque ripple a significant pr...
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The lack of the filtering effect due to gear reduction in a direct-drive system necessitates the consideration of the full dynamics of the system for high performance control. This makes torque ripple a significant problem and its elimination is required for improved performance. In the study, adaptive linearizing control is applied for the solution of the problem in a single-link manipulator driven by a permanent magnet synchronous motor. Two parameterization methods, which were analyzed in terms of stability and robustness in a previous study, are implemented for the linearization of the direct-drive system. Speed and position control experiments are performed for both parameterizing approaches, also taking load torque variations into account and an improved performance is obtained in terms of torque ripple reduction and tracking error. Especially with the guaranteed persistency of excitation of the new parameterization approach, a significant reduction of torque ripple amplitude is achieved in addition to parameter and error convergence under load variations for both speed and position control. The experiments are performed through a DSP32 driven motion controller.
A new VLSI architecture of Reed Solomon decoder with erasure function and using a modified Euclid's algorithm to solve the key equation is presented. Its correction ability is 20 bytes/block. The block length is v...
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A new VLSI architecture of Reed Solomon decoder with erasure function and using a modified Euclid's algorithm to solve the key equation is presented. Its correction ability is 20 bytes/block. The block length is variable (from 96 bytes to 255 bytes). Hardware complexity is dependent only on 2t (number of parity check bytes). Due to the modified Euclid's algorithm, the hardware required for solving the RS code's key equation is reduced and the control circuitry simplified, thus this architecture is suitable for VLSI implementation. The decoder is reduced to a three stages pipelined structure. Its algorithms were simulated with C language, and over 6 million pattern were tested without mistake. The algorithm state machine (ASM) and architecture were verified with the Verilog description language, and over twelve thousand patterns were tested without mistake.
In this paper, the authors describe their NSF sponsored research-curriculum program devoted to the topic of modeling and control of semiconductor manufacturing. The paper is focused for the most part on the curriculum...
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In this paper, the authors describe their NSF sponsored research-curriculum program devoted to the topic of modeling and control of semiconductor manufacturing. The paper is focused for the most part on the curriculum development under this program.
An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits ...
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An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realization in terms of Riccati feedback and feed-forward components. This realization also has the advantage of implicitly ensuring automatic step size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants which can be arbitrarily changed by design parameters.
This paper develops new 2D systems state space models for discrete linear repetitive processes. The overall aim is to use these models and well established 2D systems theory to address basic systems theoretic question...
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This paper develops new 2D systems state space models for discrete linear repetitive processes. The overall aim is to use these models and well established 2D systems theory to address basic systems theoretic questions for this subclass of repetitive processes. To this end, it is shown that the stability theories are equivalent and a state transition matrix is developed and used to present some basic results on reachability. Cet article developpe une nouvelle classe de modeles des processus lineaires, discrets et repetitifs. L'objectif est du'utiliser conjointement ces modeles et la theorie classique des systemes 2D afin der examiner, pour cette classe de systemes repetitifs, des notions de base la theorie des systemes. A cette fin, il est montreque les theories de la stabili te sont equivalentes. Une matrice de transition est definie, qui nous permet de presenter quelques resultats de base concemant latteignab ilite.
The design of high power and high frequency foil wound inductors is not a straightforward task. At high frequencies, additional losses occur within the foil windings due to the eddy currents induced by skin, proximity...
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The design of high power and high frequency foil wound inductors is not a straightforward task. At high frequencies, additional losses occur within the foil windings due to the eddy currents induced by skin, proximity, fringing and other AC effects. In addition, the winding structure greatly affects the distribution of losses within the windings. In this paper, the various loss mechanisms of a foil winding are analyzed and quantified. Both analytical and finite element analysis tools are utilized to investigate and understand the different loss mechanisms. The results show a strong correlation between the current and field distributions within the windings where the current is always attracted to the high field regions. By shaping and controlling the field distribution in a given design, the current distribution can be improved which results in an improvement in the winding losses.
This paper solves a large scale design problem for a sub-class of 2D linear systems termed differential linear repetitive processes. The method is to decompose the problem into a single lower order one which can be so...
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This paper solves a large scale design problem for a sub-class of 2D linear systems termed differential linear repetitive processes. The method is to decompose the problem into a single lower order one which can be solved by direct application of well known standard linear control theory. It is shown that arbitrarily good closed-loop performance can be achieved under suitable choice of a single design parameter.
The paper reviews recent results in the area of Iterative Learning control with particular emphasis on its 2D structure and the effect of systems structural properties on convergence. Particular attention is focussed ...
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The paper reviews recent results in the area of Iterative Learning control with particular emphasis on its 2D structure and the effect of systems structural properties on convergence. Particular attention is focussed on high-gain concepts and H ∞ and LQ optimisation approaches. L'article fait part de récents résultats dans le domaine du contrôle d'apprentissage par itérations, avec un intérêt particulier pour sa structure 2D et l'effet des propriétés liées aux systèmes sur la convergence. Une attention particulière est donnée aux concepts de gain élevé et les approches d'optimisation de H ∞ et linéaire quadratique.
Fuzzy reasoning processors have been employed in many commercial and industrial applications. A high-performance pipelined, single-instruction-stream, and single-data-stream architecture of fuzzy reasoning engine has ...
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Fuzzy reasoning processors have been employed in many commercial and industrial applications. A high-performance pipelined, single-instruction-stream, and single-data-stream architecture of fuzzy reasoning engine has been designed. Based on this architecture, the proposed VLSI processor for embedded real-time fuzzy logic applications was fabricated in an 0.8-/spl mu/m CMOS technology. Its computation power can reach 2.5 million fuzzy logic inferences per second (MFLIPS) at a system clock of 20 MHz. In order to efficiently realize fuzzy applications, a software development system under Microsoft Windows has also been designed. For the purpose of showing its effectiveness, we have carried out the experiments to successfully control the crane system. Experimental results have shown the efficient cooperative control of the proposed fuzzy reasoning processor with software development system and can be contrast with conventional computer software interface control.
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