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This paper proposes a robust H∞ controller based on Multi-objective genetic algorithms (MOGAs) to control the active magnetic bearings (AMBs) with application to superfluid helium cryogenic centrifugal compressor (CCC). Basic weighting function formulas with seven parameters in all are suggested for H∞ controller, whose physical connections with system performance are clearly explained. Weighting...
This paper presents a fan-beam patch antenna array with low cross-polarization. The proposed antenna array consists of 13 sub-arrays and each array has 7 elements. The element distance in each array is equal, whereas the distances between the sub-arrays are designed to be different in order to decrease the radiation in the side lobe level. Narrower beam width and lower side lobe level can be realized...
Accurate modelling of photovoltaic (PV) modules is necessary to understand PV cell operation and to develop maximum power point tracking (MPPT) algorithm for efficient operation of the PV system. A variety of models are proposed in the literature that use a current source, diodes and resistors to represent a PV module. The parameter values involved in the model need to be accurately estimated to improve...
Typing notification of instant messaging APPs improves user experience during online chatting. However, frequent notification leads to high energy consumption of mobile devices. In this paper, we study the trade-off between the frequency of typing notifications for user experience and communication energy saving of mobile device. We propose adaptive typing notification mechanisms, which exploit user's...
For a multi-source multi-sink computer network with fixed network topology, how to assign the transmission lines to the arcs to provide a certain level of network reliability is an important problem worthy of studying. Considering the assignment cost, this paper investigates the optimal transmission lines assignment problem with minimal assignment cost. At the same time, the data transferring reliability...
A PowerPC-centred 110 VAC/2.5 kW full-bridge isolated battery charger was developed for the plug-in hybrid electric vehicle (PHEV). Genetic algorithm was adopted to optimise the system key parameters. Phase-shift-based operation modes were analysed in detail. The system-level safe operational area and other practical design considerations were discussed in detail. Experiments validated the design...
The objective of the study is to improve the aortic pressure and myocardial perfusion pressure during cardiac arrest through optimized control parameters of external force for cardiopulmonary resuscitation (CPR). The CPR technology described in this paper was active compression-decompression CPR with enhanced external counter-pulsation and inspiratory impedance threshold valve (AEI-CPR). A genetic...
One of the first issues which has to be taken into account by software companies is to determine what should be included in the next release of their products, in such a way that the highest possible number of customers get satisfied while this entails a minimum cost for the company. This problem is known as the Next Release Problem (NRP). Since minimizing the total cost of including new features...
Accurately estimating rice biomass and yield is important not only for rice cropping management, but also for quantitatively understanding carbon cycle in agricultural ecosystem. This study integrated a rice canopy scattering model with Genetic Algorithm Optimization Tool (GAOT) to simulate rice biophysical parameters and to estimate rice biomass from L-band, HH polarization mode ALOS/PALSAR radar...
This paper presents a new approach for tuning damping control parameters to improve large-signal dynamic performance of power systems. It follows two steps, damping assessment and parameter optimization. Prony analysis based on single machine equivalent (SIME) is used for identifying the critical mode and corresponding damping ratio. The damping ratio is an important index for control effect in both...
An evolutionary autonomous failure recognition approach is presented using multi-objective genetic programming in this paper. It is compared with the conventional robot failure classification algorithm. Detailed analysis of the evolved feature extractors is tempted on investigated problems. We conclude MOGP is an effective and practical way to automate the process of failure recognition system design...
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