Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Jurnal Natural

SISTEM KENDALI PROPORSIONAL, INTEGRAL, DAN DERIVATIF (PID) PADA PERSAMAAN PANAS Muhammad Ikhwan; Said Munzir; Nurmaulidar Nurmaulidar
Jurnal Natural Volume 16, Number 2, September 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.259 KB) | DOI: 10.24815/jn.v16i2.4918

Abstract

This research showed the application of Proportional, Integral, and Derivative (PID) control system on heat equations that has non-integer ordered solutions on Laplace domain. Zala tuning method and Ziegler-Nichols method; which is ultimate cycle and process reaction method, are used to determine the value of Kp, Ti and Td as constants in PID to maintain the temperature of 1oC on the position of x = 3 m from the heat source with k = 0,042 m2s-1 diffusivity. Based on the results, there were ten systems that were closest in the desired criteria. With regards to overshoot and the time taken to reach the stable position, therefore the ten systems that are produced have not many differences in strengths and weaknesses. 
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1290.897 KB) | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.
SISTEM KENDALI PROPORSIONAL, INTEGRAL, DAN DERIVATIF (PID) PADA PERSAMAAN PANAS Muhammad Ikhwan; Said Munzir; Nurmaulidar Nurmaulidar
Jurnal Natural Volume 16, Number 2, September 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v16i2.4918

Abstract

This research showed the application of Proportional, Integral, and Derivative (PID) control system on heat equations that has non-integer ordered solutions on Laplace domain. Zala tuning method and Ziegler-Nichols method; which is ultimate cycle and process reaction method, are used to determine the value of Kp, Ti and Td as constants in PID to maintain the temperature of 1oC on the position of x = 3 m from the heat source with k = 0,042 m2s-1 diffusivity. Based on the results, there were ten systems that were closest in the desired criteria. With regards to overshoot and the time taken to reach the stable position, therefore the ten systems that are produced have not many differences in strengths and weaknesses. 
Optimization of fuzzy entropy on solar panel’s motor MUHAMMAD IKHWAN; MARWAN RAMLI; MARDLIJAH MARDLIJAH
Jurnal Natural Volume 22 Number 1, February 2022
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v22i1.23187

Abstract

Renewable energy has been in great demand by the public, even some countries have set regulations for substitution and transition from fossil energy to renewable energy. This study aims to modify the fuzzy control system with a metaheuristic method, namely fuzzy entropy. The entropy value of the fuzzy set in the previous stage becomes the basis for calculating the foot of uncertainty in the new fuzzy set. This process makes the entropy method parallel to other optimization methods that have been carried out on fuzzy control systems. The results obtained indicate that the modified fuzzy control system successfully controls the angle and angular velocity of the solar panel. The error value shown is very small and the time to reach stability is below 5 s. This is a rapid development of several previous studies. The modified system has no overshoot and steady state error below 1%. Based on these results, entropy research can be developed again by changing the fuzzy set to a more complex form.