An adaptive Mamdani based fuzzy logic controller has been designed for controlling a static compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be ...
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An adaptive Mamdani based fuzzy logic controller has been designed for controlling a static compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes that adaptively changes the controller output parameters based on a gradient descent method. Moreover, shrinking span membership functions are used for a more stable and accurate control performance. Simulation results show that the proposed controller outperforms the conventional PI controller during dynamic and transient disturbances
This paper presents a new run-to-run control scheme to reduce overlay misalignment errors in steppers and demonstrates the feasibility of the scheme by real-time experimental tests. The overlay misalignment error main...
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In this paper a multiobjective design optimization of an air-core linear permanent magnet synchronous motor is presented. Thrust, thrust ripple and consumed magnet volume are chosen as objectives for design optimizati...
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In this paper a multiobjective design optimization of an air-core linear permanent magnet synchronous motor is presented. Thrust, thrust ripple and consumed magnet volume are chosen as objectives for design optimization. A 2D finite element analysis is carried out to evaluate the optimization results.
This paper presents a study of the behaviour of electrically actuated RF-MEMS switches with ohmic contact. We will discuss about the relationship between the actuation voltage, displacement and the corresponding conta...
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ISBN:
(纸本)2960055128
This paper presents a study of the behaviour of electrically actuated RF-MEMS switches with ohmic contact. We will discuss about the relationship between the actuation voltage, displacement and the corresponding contact force experienced by the switch. We will demonstrate the linear behaviour of the switch when factors such as width or length of the switch arm are varied. Experimental results for DC actuation are also presented.
The authors report on the recent development of a 2 × 2 RF MEMS switch matrix for high power applications. The RF design and modelling of the switch matrix using full-wave electromagnetic (EM) simulations are des...
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The authors report on the recent development of a 2 × 2 RF MEMS switch matrix for high power applications. The RF design and modelling of the switch matrix using full-wave electromagnetic (EM) simulations are described. The method of fabrication and experimental setup are presented. Results for the recorded RF performance for on and off states are presented. Power handling characteristics of the switch are also examined. Some challenging issues for the development of this type of device are addressed.
Backpropagation algorithm is the most commonly used algorithm for training artificial neural networks. While being a straightforward procedure, it suffers from extensive computations, relatively slow convergence speed...
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Backpropagation algorithm is the most commonly used algorithm for training artificial neural networks. While being a straightforward procedure, it suffers from extensive computations, relatively slow convergence speed and possible divergence for certain conditions. The efficiency of this method as the training algorithm of a radial basis function neural network (RBFN) is compared with that of particle swarm optimization, for neural network based identification of a small power system with a static compensator. The comparison of the two methods is based on the convergence speed and robustness of each method.
Characterization and models for multi-gigabit signaling is an important issue in modern digital system. A good physical based model relies on a precise characterization of the test board. Typically, the characterizati...
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Characterization and models for multi-gigabit signaling is an important issue in modern digital system. A good physical based model relies on a precise characterization of the test board. Typically, the characterization of the test board is associated with scattering matrix parameter measurement, which can be done with a VNA (vector network analyzer) in the frequency-domain or a TDR (time domain reflectometer) in the time-domain. The commonly used launch techniques on PCBs (printed circuit boards) associated with the VNA or TDR measurement in the microwave frequency range use SMA or 3.5 mm connectors, in edge-launch or vertical-launch fashions. The transition between the launch port and the DUT (device under test) introduces errors in the measurement. Embedding/de-embedding techniques are used to remove the port influences in the measurement generally. For example, TRL (through, reflect, and line) calibration is the typical method used in measurement to eliminate port influences. However, extra test kits are needed for TRL calibration, and furthermore the TRL calibration is sometimes difficult to implement, such as in coupled differential lines. In this paper, an effective hybrid approach for transmission line characterization is proposed, which includes choosing a suitable port launch technique for the test board, port parasitic parameters estimation, and building up a proper circuit model for evaluation with genetic algorithms (GA).
This paper presents an alternative dynamic channel assignment technique for use in Satellite-Aided Cellular systems. It is based on a three-layer cellular architecture. The use of the proposed technique optimizes the ...
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This paper presents an alternative dynamic channel assignment technique for use in Satellite-Aided Cellular systems. It is based on a three-layer cellular architecture. The use of the proposed technique optimizes the QoS of Ultra High-Speed (UHSMT) and High-Speed Moving Terminals (HSMT). The lower layer of the proposed architecture absorbs the traffic loads of Low Speed Moving Terminals (LSMT). The second layer absorbs the traffic load of the HSMT and the higher layer based on a satellite cell absorbs the traffic load of UHSMT. The results of simulating the proposed technique show that assigning the optimum number of channels in every layer, the QoS of UHSMT and HSMT are optimized especially in High Traffic Conditions, having a small negative effect on the QoS of LSMT.
This paper presents a low-power, electrostatically-actuated integrated optical filter on an InP MEMS platform. The micromachined filter achieves a resonant wavelength shift of 12nm (1513-1525nm) at a low operating vol...
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This paper presents a low-power, electrostatically-actuated integrated optical filter on an InP MEMS platform. The micromachined filter achieves a resonant wavelength shift of 12nm (1513-1525nm) at a low operating voltage (7V). The filter consists of a half-wavelength long resonant cavity bound by two highly reflective distributed Bragg reflector (DBR) mirrors fabricated by lithography and dry-etching. The filter is integrated monolithically with a doubly-clamped suspended-beam capacitive microactuator and optical waveguides. This paper discusses the fabrication as well as experimental results, showing good agreement between the measured and simulated performance of the filter. The novelty of the device lies in its in-plane MEMS actuation scheme enabling easy integration with other waveguide-based planar integrated optical active and passive components on an InP optoelectronic chip.
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