Iterative Parameter Optimization for Multiple Switching Control Applied to a Precision Stage for Microfabrication

This paper proposes an iteration procedure to derive optimal parameters for a multiple switching control architecture. Control design is usually a compromise between various performance requirements; therefore, switching between multiple controllers that achieve a particular performance under different conditions can potentially improve the overall system behavior. In this paper, we consider a control-switching mechanism that can automatically switch controllers based on the prediction of future responses, and we develop an iteration procedure that can optimize the mechanism parameters, such as the number of controllers and the prediction horizon. We then implement the proposed mechanism in a long-stroke precision stage, and demonstrate the effectiveness of switching robust control with simulations and experiments. Lastly, we integrate the stage with a two-photon polymerization system to fabricate microlenses. The optical properties confirm that the proposed iterative parameter optimization procedure is effective in improving the performance of microfabrication employing multiple switching control.

FIB-SEM NANOFABRICATION- A REVIEW

Based on unique FIB and precision stage technology as well as a novel nanofabrication platform, the Raith FIB-SEM is designed around the FIB as the primary patterning technique, supported by uncompromised SEM and laser interferometer stage capabilities. Such a FIB-centric state-of-the-art nanofabrication system allows scientists to take advantage of the unique capabilities afforded by focused ions. This paper discusses various capabilities and key strengths, based on exemplary applications from different nanopatterning areas.

Rancang Bangun Automatic Human Blood Type Detector Menggunakan Sensor Cahaya Bh1750 Berdasarkan Sifat Optik dengan Metode ABO

Abstrak Penelitian ini bertujuan untuk merancang dan membangun sebuah alat Automatic Human Blood Type Detector berdasarkan sifat optik dengan metode ABO, lalu menentukan karakteristik sensor dan membandingkan dengan hasil pengujian laboratorium. Hasilnya telah berhasil dirancang sebuah Automatic Human Blood Type Detector menggunakan sensor cahaya BH1750, LED, motor servo, Arduino Uno dan dengan output yang ditampilkan pada layar LCD 16X2. Karakterisasi sensor cahaya BH1750 dilakukan dengan cara membandingkannya dengan sensor LDR dan sensor cahaya pada smartphone, didapatkan nilai rata-rata intensitas cahaya dari ketiga sensor tersebut relatif sama yaitu berada pada range 8000 – 9000 lx. Tetapi nilai ketelitian sensor cahaya BH1750 lebih tinggi dibandingkan dengan kedua sensor lainnya yaitu sebesar 97.74 %. Dan alat ini memiliki nilai presentase keberhasilan sebesar 91,67 % dari 12 orang responden. Abstract The aim of this research is to design and build a device Automatic Human Blood Type Detector through ABO method based on the optical feature. Thus, investigating the characteristic of censor in order to be compared to the laboratory examination is what this research has its focus on. The ultimate parts of the device have applied light censor BH1750, LED, servo motor, Arduino Uno, and the output that is demonstrated on the 16x2 LCD screen. The comparison of LDR censor and light censor has created a characteristic of light censor BH1750. It can be found that the average point of light intensity from the three types of censor are rather similar―they range from 8000 to 9000 lx. The difference is that light censor BH1750 has a more increased precision stage of 97.74%, compared to the other two censors. Moreover, this device has achieved a success level of 91.67% from 12 respondents. Program Studi Fisika, Fakultas Sains dan Teknologi, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Jalan. Ir. H. Djuanda No.95, Cempaka Putih, Ciputat, Kota Tangerang Selatan, Banten 15412, Indonesia