LQR based Fuzzy Logic Rudder Control System using DC Servo Motor

Shyamsundar, P. L.; Rishi, P. L.; Jamuna, P.

doi:10.1109/icaccs.2019.8728474

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…This system uses a state space technique to evaluate and regulate the system. Figure 5 clarify the Linear Quadratic control system [21]. The design assumptions, Plant DC Servomotor-based antenna positioning control system design using LQR Controller model defined by equation ( 14), and All states are directly measurable and are all well-known (available for feedback) [13].…”

Section: B Linear Quadratic Regulator (Lqr)mentioning

confidence: 99%

“…An antenna stabilizers, which is commonly employed in dynamic fields such as: ships, automobiles, military vehicles, etc., helps to stabilize the antenna [20]. A servo motor controller is required for antenna stabilisation using PID as speed control [21], [22]. The Linear-Quadratic-Regulator (LQR) console's fuzzy logic helps to eliminate mistake and automatically controls the servo motor [23].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Antenna Positioning Control System Using Adapted DC Servo Motor and Fuzzy-PI Controller

Fkirin,

Khira

2023

IEEE Access

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Control systems for Ground Data Receiving Stations (GDRS) play a crucial role in accurately pointing antennas to receive data from satellites. This study focuses on designing and simulating a closed-loop control system using PID, LQR, and Fuzzy-PI controllers for precise antenna positioning and establishing reliable communication links during data receiving sessions. The proposed model incorporates a DC servo motor-based controller and antenna positioning system, implemented through MATLAB/SIMULINK software. Comparative analysis of the controllers is performed based on various performance metrics. The findings indicate that the Fuzzy-PI controller exhibits the most responsive and robust operation, outperforming the PID and LQR controllers. It effectively manages time delays in antenna control within the GDRS and supersedes the current controller with enhanced bypass, rise time, and tracking antenna calibration values. The study demonstrates the significance of optimizing control systems for ground stations, particularly when dealing with large motors, offering potential advancements in motor control and system stability. The proposed Fuzzy-PI controller presents a valuable solution for improving the overall efficiency of GDRS and enhancing its data reception capabilities.

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Section: B Linear Quadratic Regulator (Lqr)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced Antenna Positioning Control System Using Adapted DC Servo Motor and Fuzzy-PI Controller

Fkirin,

Khira

2023

IEEE Access

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Temperature Control Based on Fuzzy Logic Using Atmega 2560 Microcontroller

Khairudin

Ibrahim

Arifin

et al. 2021

J. Phys.: Conf. Ser.

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The country of Indonesia has a tropical climate. During the dry season there will be more hot conditions. For the middle class, the use of fans is needed as a neutralizer for hot temperatures. Currently the fan is still manually adjusted to the desired speed. Manually setting conditions, of course, cannot adjust to the current temperature conditions. Therefore we need a fan speed control device using a DS18B20 temperature sensor and a PING sensor. In this study, the algorithm system used is the fuzzy logic controller. The results showed that the change in the range of each increase in temperature and distance was linear. The results of the study show that with a temperature are 32 degrees of Celsius and a distance of 18 cm it produces an output of 60. Input temperatures are 35 degrees of Celsius and 16 cm produce an output of 125. Input temperatures are 35 degrees of Celsius and distance of 20 produce an output of 127. Input temperatures are 75 degrees of Celsius and a distance of 35 cm produces an output of 255 and when the temperature reaches 90 degrees of Celsius and a distance of 4 cm, the PWM returns to zerro because the temperature value exceeds the predetermined range.

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