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Automatic measurement systems play an important role in various applications of the industry. It is effective in reducing the cost, time consumption of researches and developments, and increasing the product qualities. Web-based teaching tools and materials can provide a dramatic benefit to teaching and learning. Therefore, a web-based integrated measurement system which automatically measure and identify those inherent characteristics of electromagnetic devices is proposed in this paper for students to learn the idea of automatic measurement platform and its applications. A programmable devices test bench, a web-based distance laboratory and a user interactive e-learning platform comprise the presented system. The programmable devices test bench can be reconfigured by the student via a webbased interface to construct various drive circuits and devices under test. The internet accessible distance laboratory permits the instructors and students to remotely conduct experiments over the Internet. The integrated interactive material can assist to the educational environment of the course and can be executed on any modern personal computer without additional hardware. Key features of the proposed teaching aids and materials include flexibility, efficient programming interface, provision for distance waveform measurements and asynchronous learning.Index Terms -Automatic measurement system, E-learning platform, Interactive interface, Teaching aids and materials.

In this paper, an adaptive learning control (ALC) based on the repetitive tuning of the dominant energized parameters is proposed to minimize the torque ripple and energy conversion loss of the switched reluctance motors (SRMs). A simple and effective modulating strategy on excitation commutation angles and duty cycle is repeatedly applied to the SRM until desired performance tracking is achieved. According to the load variation, an initial suboptimum operating condition, derived from the expert’s knowledge and experience as well as accurate magnetization characteristics of the SRM, is offered to promise a well starting dynamics, learning ratio and convergence speed. Driving performance enhancement can be obtained on account of the best programming of phase current profiles via the well-tuned parameters to make minimum energy conversion loss and torque ripple reachable. Evolution and simulation based on the DSP-based processor has been developed to realize the proposed control approach and setup the SRM drive system. Experimental results on a 4-phase 8/6 pole SRM are given to show the effectiveness and performance enhancements of the presented control mechanism.

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