Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization

Kavya, Mallipeddi; Rao, G. Sambasiva

doi:10.5120/20833-3513

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…We had a threshold factor of 0.015 and this was a good balance for exploration and computational efficiency. In terms of PID parameters, Nayak et al [7] found that a larger 𝐾 𝑖 increases the amount of overshoot and this was confirmed by our results in table 1, they also found that a larger 𝐾 𝑝 results in a decreased rise time and this is confirmed by our ITSE and ISE simulation results in table 1.…”

Section: Discussionsupporting

confidence: 88%

A Novel PID Tuner with Particle Swarm Optimization

Ubosi

2024

Preprint

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Section: Discussionsupporting

confidence: 88%

A Novel PID Tuner with Particle Swarm Optimization

Ubosi

2024

Preprint

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“…These parameters must be chosen properly so that the system's stability is satisfactory, including the response speed and the right level of overshoot. The system's transfer function was based on Equation 6 (Nayak and Singh, 2015).…”

Section: System Design and System Controlmentioning

confidence: 99%

Baby Incubator with Overshoot Reduction System using PID Control Equipped with Heart Rate Monitoring Based on Internet of Things

Irianto¹,

Maghfiroh²,

Sofie³

et al. 2023

IJTech

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Factors causing premature infant mortality include the lack of simple care and inadequate equipment such as a baby incubator. Premature babies are very susceptible to heart disorders, including congenital heart defects. Congenital heart defects can cause a fetus to be born prematurely. The current research related to this matter was further conducted, aiming to develop a baby incubator with an overshoot reduction system specifically for babies with heart defects that can be monitored remotely using an IoT system. In this study, the AHT 10 sensor was used for room temperature sensing in the baby incubator. Temperature control was achieved using a closed-loop PID system. In this case, the monitoring of the baby's heart rate employed leads II to tap the heart's electrical signal. Data transmission consisted of temperature readings, ECG signals, and heart rate. The microdata was processed into digital data, which were then sent via the Raspberry Pi, then sent via the internet to access the cloud firebase. After that, the firebase data were downloaded from an Android system. The performance results showed that in the temperature test, the error value was below 5%, and the PID control made can reduce the overshoot temperature by no more than 5%. In addition, it was also determined that the steady-state error value was 2%. T-Test statistical test on the ECG signal further obtained a p-value > 0.05. Furthermore, the data transmission test using IoT did not find data loss when sending the data, and the minimum speed required for data transmission was 5 kbps. This research further implied that the user or the patient's family could easily monitor the baby's development anywhere and anytime.

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“…Although PID controllers have been extensively used in a research area, their effectiveness is often criticised by industry, especially for the non-linear system, due to the uncertainty aspect that the system influences, such as excessive payloads and changes in the operating environment (Visioli, 2012;Nayak & Singh, 2015). Besides that, Rao et al (2016) stated that the nonlinearities of a system are mainly caused by the failure to obtain an exact model, consequently affecting the controller's accuracy.…”

Section: Introductionmentioning

confidence: 99%

A Single Objective Crow Search for Modelling of Horizontal Flexible Plate Structure

Shaari¹,

Hadi²,

Wahab³

2023

JST

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The magnificent features of flexible plate structure, including lightweight and high-speed response, resulted in additional market demand, especially in the automotive and manufacturing industries. Nevertheless, the structure may incur structural damage and performance degradation when the system encounters excessive vibration. Therefore, a system identification approach utilising a metaheuristic algorithm via crow search to develop a horizontal flexible plate (HFP) model for vibration control is introduced in this paper. Crow search (CS) is a modern algorithm inspired by a crow’s intellectual operation to store additional food and memorise the food storage location. In this study, CS is employed to optimise the objective function, which is the mean squared error for accomplishing a precise predicted model in replicating the dynamic response of the actual structure. Hence, the preliminary action for modelling using this approach is designing and fabricating an HFP rig for experimentally gathering the real input-output vibration data. After that, the mathematical modelling utilising the CS algorithm was implemented using a parametric model structure. Finally, the best-fit model is chosen for the representation of the HFP based on the lowest mean squared error, correlation test within a 95% confidence level and stability in a pole-zero plot. The simulation result reveals that the CS algorithm with a second-order estimated model accomplished a minimum MSE of 1.1168 × 10-5, an unbiased correlation test and excellent stability for the HFP structure.

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Tuning of PID Controller in an Interconnected Power System using Particle Swarm Optimization

Cited by 7 publications

References 6 publications

A Novel PID Tuner with Particle Swarm Optimization

A Novel PID Tuner with Particle Swarm Optimization

Baby Incubator with Overshoot Reduction System using PID Control Equipped with Heart Rate Monitoring Based on Internet of Things

A Single Objective Crow Search for Modelling of Horizontal Flexible Plate Structure

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