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All Journal Sainstech Nusantara Maritime in Community Service and Empowerment
Anggara Trisna Nugraha
Marine Electrical Engineering, Shipbuilding Institute of Polytechnic Surabaya, Indonesia
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Physics

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Application of LQR-PID Control in Eddy Current Brake Dynamometer Systems for Community Skill Development Anggara Trisna Nugraha; Jatmiko Adi Wijay
Maritime in Community Service and Empowerment Vol. 1 No. 2 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

This paper presents a comparative analysis of classical PID control techniques and modern control approaches in the Eddy Current Brake Dynamometer system. Eddy Current Brakes, as modern braking systems, require efficient control mechanisms to enhance their performance. Traditionally, PID control has been widely employed; however, it is often deemed suboptimal in certain scenarios. To address these limitations, this study explores the development of a more modern and optimal control system utilizing Full-State Feedback Linear Quadratic Regulator (LQR). The comparative analysis of braking response times was simulated using MATLAB/Simulink. Results demonstrate that LQR control outperforms PID control in terms of braking response, with a settling time (Ts) of 2.12 seconds, a rise time (Tr) of 1.18 seconds, and zero overshoot. Conversely, while PID control achieves faster Ts (0.27 seconds) and Tr (0.18 seconds), it exhibits an overshoot of 0.7%, which may impact system stability. Furthermore, this research underscores the potential of integrating LQR-based control systems into community-oriented technical training programs. The improved performance metrics of the LQR control can enhance the practical learning experience, particularly in vocational education aimed at equipping underserved communities with advanced technical skills. By leveraging these findings, the study highlights the importance of adopting innovative control strategies to bridge the gap between theoretical knowledge and practical application, contributing to sustainable skill development initiatives.
Optimization of Application Control Using LQR and LQT Approaches: A Study on Community-Based Development Programs Rachma Prilian Eviningsih; Anggara Trisna Nugraha; Rama Arya Sobhita
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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The rapid advancements in technology today have led to a growing reliance on automated tools over manual human labor. One of the widely used actuators across various fields is the DC Motor. This paper focuses on integrating tools with Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) approaches. LQR is an optimal control method applied to state-space-based systems. The LQR controller requires the definition of two parameters, namely the Q and R weighting matrices, which must be carefully determined to achieve optimal control actions as desired. Unlike the Proportional-Integral-Derivative (PID) controller, which features systematic tuning methods like Ziegler-Nichols and Cohen-Coon, the LQR controller lacks a dedicated systematic tuning methodology for determining the Q and R weighting matrices. The implementation of these approaches in this study aims to produce more efficient and effective outcomes, particularly in the context of community-based development programs. By optimizing the control systems used in community projects, this research contributes to enhancing the reliability and sustainability of technological solutions applied to improve societal well-being.
Optimization of DC Motor 80BL Using LQR Methods on MATLAB Simulink for Community Empowerment Applications Anisa Fitri Santosa; Rama Arya Sobhita; Anggara Trisna Nugraha
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Optimization techniques are essential tools for achieving the best possible outcomes in various fields, from engineering and economics to social sciences, including community empowerment. These techniques allow for optimal decision-making processes, especially in situations requiring minimal costs and maximum benefits. In the context of community service and empowerment, optimization techniques can enhance local initiatives, such as small-scale manufacturing, agricultural processes, and the development of community-based enterprises, by improving efficiency and reducing unnecessary costs. For example, in the design of infrastructure projects or the optimization of energy distribution systems, optimization techniques ensure that resources are used effectively to serve the community's needs. Moreover, by applying optimization methods, communities can enhance their self-sufficiency and contribute to sustainable development. The ability to minimize costs while maximizing utility can be a game-changer, particularly in underdeveloped areas where resources are limited. This research focuses on the optimization of a DC Motor 80BL using Linear Quadratic Regulator (LQR) methods on MATLAB Simulink, offering an advanced solution for community empowerment applications. LQR provides an optimal input that results in state feedback, represented by a constant gain within the system’s state, which can significantly improve the efficiency of various mechanical systems used in community-driven projects. The application of these optimization methods in community development ensures that local industries and projects can operate at their highest potential.
Comparison of System Optimization Methods: LQR vs. LQT on the Output Response of IG-42CRGM DC Motor Muhammad Bilhaq Ashlah; Anggara Trisna Nugraha; Rama Arya Sobhita; Geniari Nastiti
SAINSTECH NUSANTARA Vol. 2 No. 4 (2025): November 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i4.99

Abstract

DC motors are widely utilized in industrial applications for their reliability and efficiency. To optimize their performance, it is crucial to employ control systems supported by mathematical modeling to predict motor responses under varying conditions. This study investigates the first- and second-order models of DC motors and examines the impact of internal disturbances (noise) on system performance. The output responses of two DC motors, the 42BLFX02 and Maxon EC-I 40 (70W), are compared under both undisturbed and noisy conditions using simulations. The results reveal that the second-order model offers a more stable response and better aligns with the desired target compared to the first-order model. Furthermore, the application of the Linear Quadratic Regulator (LQR) control method significantly enhances the speed and accuracy of reaching the motor set point. However, when noise is introduced, the LQR method fails to maintain stability, and the motor's output starts to mirror the disturbance pattern. These findings highlight that while LQR is effective under ideal conditions, its performance diminishes when exposed to disturbances. Therefore, additional strategies are necessary to ensure stability and optimal performance in real-world conditions, particularly in environments with significant noise or disturbances.  
Enhancing LQR and LQT Control Strategies for the Output Performance of PG36M555 DC Motors Akhmad Azhar Firdaus; Anggara Trisna Nugraha; Rama Arya Sobhita; Dhadys Ayu Juli Anjhani
SAINSTECH NUSANTARA Vol. 2 No. 4 (2025): November 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i4.101

Abstract

A DC motor is commonly utilized as an actuator due to its ability to produce high torque. Controlling the motor's speed is one of the primary methods to manage its performance. Among various wireless communication options, radio waves are preferred since they do not require a clear line of sight between the transmitter and receiver. Employing multiple antennas offers benefits such as enhanced reliability and increased data transmission rates. This study focuses on designing and simulating four types of systems: SISO, SIMO, MISO, and MIMO. The performance of these configurations is evaluated and compared using Signal-to-Noise Ratio (SNR) and channel capacity, with variations in antenna count. Simulations were carried out in MATLAB to analyze how different antenna quantities (4, 8, and 16) affect channel capacity across an SNR range of 0 to 30 dB. The simulation outcomes reveal a substantial rise in system capacity, reaching up to 214 bits/Hz/sec when a 16x16 MIMO setup is applied at 30 dB SNR.
Comparative Evaluation of LQR and LQT for VD-49.15-K1-B00 Brushless DC Servomotor Tracking Under Noise Anisa Fitri Santosa; Anggara Trisna Nugraha; Rama Arya Sobhita; Dimas Eka Saputra
SAINSTECH NUSANTARA Vol. 3 No. 1 (2026): February 2026
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v3i1.102

Abstract

Compact brushless direct-current servomotors require controllers that combine rapid reference tracking, low transient error, and tolerance to measurement disturbance. This study presents a harmonized simulation-based comparison of linear quadratic regulator (LQR) and linear quadratic tracking (LQT) control for the VD-49.15-K1-B00 three-phase external-rotor servomotor. Manufacturer specifications were revalidated, the plant was represented in state-space form, and both optimal-control structures were assessed in MATLAB/Simulink under nominal and additive-noise conditions. Performance was quantified using 10–90% rise time, 2% settling time, percentage overshoot, and normalized root-mean-square error (RMSE) over a common evaluation interval. Without noise, LQT reduced rise time from 0.45 to 0.30 s, settling time from 0.80 to 0.65 s, and RMSE from 2.5% to 2.0%, while overshoot increased from 1.0% to 3.0%. With noise, RMSE increased to 4.5% for LQR and 4.0% for LQT. The results therefore indicate a practical speed–overshoot trade-off: LQT provides faster and more accurate tracking in the evaluated conditions, whereas LQR limits the nominal peak excursion.
Co-Authors Akhmad Azhar Firdaus Anisa Fitri Santosa Anisa Fitri Santosa Dhadys Ayu Juli Anjhani Dimas Eka Saputra Geniari Nastiti Jatmiko Adi Wijay Muhammad Bilhaq Ashlah Rachma Prilian Eviningsih Rama Arya Sobhita Rama Arya Sobhita