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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Adha Cahyadi, Adha
Universitas Gadjah Mada
Electrical & Electronics Engineering

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Comparative Study Between Internal Ohmic Resistance and Capacity for Battery State of Health Estimation Ramadan, M. Nisvo; Pramana, Bhisma Adji; Widayat, Sigit Agung; Amifia, Lora Khaula; Cahyadi, Adha; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (661.588 KB) | DOI: 10.14203/j.mev.2015.v6.113-122

Abstract

In order to avoid battery failure, a battery management system (BMS) is necessary. Battery state of charge (SOC) and state of health (SOH) are part of information provided by a BMS. This research analyzes methods to estimate SOH based lithium polymer battery on change of its internal resistance and its capacity. Recursive least square (RLS) algorithm was used to estimate internal ohmic resistance while coloumb counting was used to predict the change in the battery capacity. For the estimation algorithm, the battery terminal voltage and current are set as the input variables. Some tests including static capacity test, pulse test, pulse variation test and before charge-discharge test have been conducted to obtain the required data. After comparing the two methods, the obtained results show that SOH estimation based on coloumb counting provides better accuracy than SOH estimation based on internal ohmic resistance. However, the SOH estimation based on internal ohmic resistance is faster and more reliable for real application
A Modified Gain Schedulling Controller by Considering the Sparseness Property of UAV Quadrotors Abdurrohman, M Qodar; Inovan, Reka; Ataka, Ahmad; Tnunay, Hilton; Wimbo, Ardhimas; Iswanto, Iswanto; Cahyadi, Adha; Yamamoto, Yoshio
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3347.433 KB) | DOI: 10.14203/j.mev.2015.v6.9-18

Abstract

This work presented the gain scheduling based LQR for Quadrotor systems. From the original nonlinear model, the system is always controllable and observable in various equilibrium points. Moreover, the linearized systems have a unique property that is known as sparse system. Hence, in order to implement the most efficient state feedback controller, post-filter and pre-filter were introduced to transform the state coordinate to decrease coupling between states. Finally, the gain scheduling systems using these facts was proposed. The system behavior was tested using the proposed controller. The numerical studies showed the effectiveness of the controller to achieve desired altitude, attitude, and its ability during the disturbance
Co-Authors Ahmad Ataka Awwalur Rizqi, Ahmad Ataka Ardhimas Wimbo, Ardhimas Bhisma Adji Pramana, Bhisma Adji Hilton Tnunay, Hilton Iswanto Iswanto Lora Khaula Amifia M Qodar Abdurrohman, M Qodar M. Nisvo Ramadan, M. Nisvo Oyas Wahyunggoro Reka Inovan, Reka Sigit Agung Widayat, Sigit Agung Yoshio Yamamoto