scholarly journals SISTEM KONTROL SUHU PADA PENGERING IKAN BERBASIS MIKROKONTROLER ATMEGA 8535

2020 ◽  
Vol 5 (2) ◽  
pp. 87-95
Author(s):  
Fredy M. Baitanu ◽  
Ali Warsito ◽  
Jonshon Tarigan
Keyword(s):  
Closed Loop ◽  
Dry Mass ◽  
Temperature Data ◽  
Closed Loop Control ◽  
Electronic Market ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Measurement Results ◽  
Loop Control System ◽  
The Difference

Abstrak Telah dirancang sebuah sistem kontrol secara loop tertutup pada unit pengeringan ikan menggunakan sensor LM35, mikrokontroler ATmega8535, seven segment serta beberapa komponen elektronika yang tesedia dipasaran. Sistem dikendalikan oleh mikrokontroler ATmega8535 untuk pengambilan data suhu menggunakan sensor LM35 dan menampilkan data suhu melalui seven segment, serta mengontrol pemanas melalui aktuator. Hasil pengukuran nilai suhu akan dibandingkan dengan nilai setpoint, sehingga diperoleh selisih nilai yang akan digunakan sebagai indikator untuk melakukan proses pengontrolan. Hasil pengujian menunjukkan bahwa pengontrolan bekerja dengan baik dalam merespon setiap perubahan suhu udara. Ketika suhu di bawah setpoint 53°C maka aktuator akan berada dalam kondisi on sehingga pemanas aktif, sebaliknya jika suhu berada di atas setpoint 53°C maka aktuator akan berada dalam kondisi off untuk mematikan heater. Hasil pengeringan selama 4 jam menunjukkan bahwa pengeringan ikan pada massabasah ikan 200 gram, yaitu pada keadaan ventilasi atas kotak pengeringan terbukaakan menghasilkan massa kering90 gram. Pengujian selama 4 jam pada keadaan ventilasi kotak pengeringan tertutup akan menghasilkan massa kering 130 gram. Selain itu, pengeringan secara tradisional selama 12 jam dengan massa basah ikan 200-gram akan menghasilkan massa kering 90 gram.Kata Kunci: Suhu, pengeringan ikan; mikrokontroler Atmega8535; seven segment; aktuator Abstract A closed-loop control system of temperatures in fish drying unit using LM35 sensor, ATmega8535 microcontroller, seven segment and also some of the available electronic market components has been designed. The system is controlled by a microcontroller ATmega8535 for temperature data collection using LM35 sensor and temperature data is displayed on seven segments, as well as heating control via actuators. The measurement results will be compared with the value of the temperature set point value in order to obtain the difference in value to be used as an indicator for process control. The results show that the control works well in response to any changes in air temperature. If the setpoint temperature below 53°C, the actuator will in on condition that the heating is on, otherwise if the temperature is above 53°C setpoint then the actuator will on condition to turn the heater off. Drying for 4 hours results show that the drying fish on the fish wet mass of 200 grams, which is the state of the top vents open drying box will produce a dry mass of 90 grams. Testing for 4 hours in a drying box vents closed state will produce 130 grams of dry mass. In addition, traditional drying for 12 hours with 200 grams of fish wet mass will produce 90 grams of dry mass.Keywords: Temperature; drying fish; ATmega8535 microcontroller; seven segments; actuators.

Analysis on EPS Machitrical Dual Closed-Loop Control System

2012 ◽  
Vol 241-244 ◽  
pp. 1071-1075
Author(s):  
Wan Ying Wei ◽  
Jin Ying Chen ◽  
Gang Xie
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Closed Loop ◽  
Steering System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
The Difference

The electric power steering system (EPS) is a combination of mechanical and electrical control system. EPS’control strategy used commonly has two kinds: current PID control and fuzzy control .The current PID control based on the difference between target current and feedback current is a curren closed-loop control system and the fuzzy control is a mechanical closed-loop control system based on the difference between forces of the upper part and the lower part of the steering shaft . Taking the margin of the mechanical and electrical closed-loop control system, this paper, a torque feedback loop for the outer ring, a current feedback loop as the inner loop, designed a dual-loop control system, the output of the fuzzy control determined a target current, and then proceed to current PID control, fast-track the target torque. The simulation shows the dual closed-loop fuzzy PID control is superior to two commonly used control strategies so that electric power steering system has a better tracking ability and stability.

scholarly journals Closed-loop control system for well-defined oxygen supply in micro-physiological systems

2017 ◽  
Vol 3 (2) ◽  
pp. 363-366
Author(s):  
Tobias Steege ◽  
Mathias Busek ◽  
Stefan Grünzner ◽  
Andrés Fabían Lasagni ◽  
Frank Sonntag
Keyword(s):  
Control System ◽  
Oxygen Supply ◽  
Closed Loop ◽  
Microfluidic System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Cell Vitality ◽  
Closed Loop Control System ◽  
Loop Control System

AbstractTo improve cell vitality, sufficient oxygen supply is an important factor. A deficiency in oxygen is called Hypoxia and can influence for example tumor growth or inflammatory processes. Hypoxia assays are usually performed with the help of animal or static human cell culture models. The main disadvantage of these methods is that the results are hardly transferable to the human physiology. Microfluidic 3D cell cultivation systems for perfused hypoxia assays may overcome this issue since they can mimic the in-vivo situation in the human body much better. Such a Hypoxia-on-a-Chip system was recently developed. The chip system consists of several individually laser-structured layers which are bonded using a hot press or chemical treatment. Oxygen sensing spots are integrated into the system which can be monitored continuously with an optical sensor by means of fluorescence lifetime detection.Hereby presented is the developed hard- and software requiered to control the oxygen content within this microfluidic system. This system forms a closed-loop control system which is parameterized and evaluated.

Adaptive synchronization of uncertain fractional-order chaotic systems using sliding mode control techniques

2019 ◽  
Vol 234 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Bahram Yaghooti ◽  
Ali Siahi Shadbad ◽  
Kaveh Safavi ◽  
Hassan Salarieh
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Chaotic Systems ◽  
Closed Loop ◽  
Sliding Mode ◽  
Closed Loop Control ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System

In this article, an adaptive nonlinear controller is designed to synchronize two uncertain fractional-order chaotic systems using fractional-order sliding mode control. The controller structure and adaptation laws are chosen such that asymptotic stability of the closed-loop control system is guaranteed. The adaptation laws are being calculated from a proper sliding surface using the Lyapunov stability theory. This method guarantees the closed-loop control system robustness against the system uncertainties and external disturbances. Eventually, the presented method is used to synchronize two fractional-order gyro and Duffing systems, and the numerical simulation results demonstrate the effectiveness of this method.

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