Identification of electro-hydraulic actuator using fractional model

Electro-hydraulic actuator (EHA system) identification is to describe the characteristic of the system that useful for prediction or control system design. There are numerous methods of EHA modeling but there has not been much model using fractional-order (FO) model. In this work, integer-order (IO) model and FO model are developed to model EHA system. Output-error method is used as the estimator for both model. The coefficient of IO model was first estimated and using the estimated coefficient, the derivative order of FO model is estimated. These models has been validated by comparison of error, coefficient of determination (R2), mean square error (MSE) and correlation function. The results for the proposed model show improvement compared to the IO model

Pengaruh Pengembangan Karir, Lingkungan Kerja, dan Motivasi terhadap Kinerja Karyawan PT. Bank Xyz, Kantor Pusat

This study is intended to analyze the influence of career development, work environment, and motivation on the performance of employees of PT Bank XYZ, Head Office. This type of research is a quantitative approach. The number of respondents was 82 employees. The analytical method used is multiple linear regression, and the results of this study indicate that there are positive and significant effects of each independent variable, namely career development, work environment, and motivation on employee performance. Likewise simultaneously or together - the positive and significant influence of career development, work environment, and motivation on employee performance. Actualization needs are the strongest dimension to the dimensions of work quality. It is expected that PT Bank XYZ may not ignore programs that can develop employee motivation, such as incentives or promotions

Steam temperature control of essential oil extraction system using Fuzzy-Fopi controller

This research proposed a closed-loop temperature control using a self-tuning fuzzy fractional-order PI (FOPI) controller to overcome the problem. The controller will regulate the steam temperature at a desired level to protect the oil from excessive heat. Self capability of fuzzy rules was found to facilitate the tuning using only information about output error and rate of output error. The proposed controller was found to be more in terms of energy consumption and produce better response compared to self-tuning fuzzy PI. Essential oil quality assessment was also performed for citronella oil samples that were extracted at 85ºC and 100ºC (uncontrolled). Significant improvement had been observed in the sample extracted at 85ºC based on physical and chemical evaluations using refractive index measurement and GC-MS analysis.Keywords: fuzzy control; fractional-order PID; essential oil extraction; hydro-steam distillation