Optimized four-parameter PID controller for AVR systems with respect to robustness

Veinović, Slavko; Stojić, Djordje; Joksimović, Dušan

doi:10.1016/j.ijepes.2021.107529

Cited by 24 publications

(14 citation statements)

References 25 publications

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“…At present, most manufacturers in our country realize temperature control with PID regulator.PID control algorithm has large time lag and inertia, so it is not suitable for the heat exchanger temperature control requirements of the thermal performance test bench [5][6][7] .With the development of intelligent control algorithm, fuzzy control and Smith estimation are gradually applied to the production process. Fuzzy control does not need to establish a mathematical model.The overshoot and steady-state error of the system response are small;Strong ability to restrain external interference and noise;With high stability, PID parameters can be optimized and adjusted according to different conditions .Smith predictive controller can effectively solve the problem of large time delay and inertia in temperature control.Therefore, this experiment designed a control algorithm combining traditional PID, fuzzy control and Smith's prediction [8][9][10] to improve the response speed, adjustment accuracy and anti-interference performance of the cold water outlet temperature control of the thermal performance test bench. '…”

Section: Introductionmentioning

confidence: 99%

Temperature control technology based on Smith fuzzy PID

Gu,

Zhu,

Guan

2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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In order to improve the response speed, adjustment accuracy and anti-interference performance of the outlet temperature of the heat exchanger of the thermal performance test bench. An algorithm combining fuzzy control, Smith prediction and traditional PID control is proposed, and use Matlab/Simulink to simulate the temperature characteristics and antiinterference characteristics of the system. The experimental results show that compared with the traditional PID and Fuzzy PID algorithms, the response speed of Smith fuzzy PID is 57S and 50S faster 8 than that of traditional PID and Smith PID, respectively, and the overshoot is 18% and 16% less than that of traditional PID and Fuzzy PID respectively.Combined with Smith prediction algorithm, the time lag problem is effectively solved. Therefore, the Smith fuzzy PID control method has a faster response to the outlet temperature control of the heat exchanger, a smaller overshoot, and a faster response to interference signals.

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Section: Introductionmentioning

confidence: 99%

Temperature control technology based on Smith fuzzy PID

Gu,

Zhu,

Guan

2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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“…Operating frequency control can be maintained with a load frequency controller (LFC) [8]. On the other hand, the terminal voltage is maintained by an automatic voltage regulator (AVR) [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

“…AVR controllers based on proportional-integral-derivative (PID) have been widely presented in the literature [11]. PID has a simple design and significant influence of each parameter on the controlled output.…”

Section: Introductionmentioning

confidence: 99%

Adaptive tuning of PID using chef‑based optimization algorithm for improving automatic voltage regulator

Aribowo,

Rahmadian,

Widyartono

2023

IJEECS

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<p>This article presents the proportional-integral-derivative (PID) parameter tuning on the automatic voltage regulator (AVR) using the chef-based optimization algorithm (CBOA). CBOA is modeling cooking training activities consisting of students and young chefs in an effort to mature cooking skills. This article uses other methods as a comparison in measuring the performance of the proposed method. The methods used are grasshopper optimization algorithm (GOA) and cooperation search algorithm (CSA). The simulation results show that the proposed method, namely CBOA, has a better ability in the peak value of overshoot, which is 0.232% compared to the CSA method and 12.99% compared to the GOA method.</p>

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“…This controller type is sufficient to solve most control problems, provides good performance, and its built-in parameter K i removes steadystate error, while the derived parameter K d improves transient response [56]. PID controllers are predominantly used as regulators in automatic voltage regulator (AVR) systems; thus, its key feature is to maintain the voltage around a reference (setpoint) and to reject load disturbances [59]. The controller is suitable for both reactive and active power control in microgrids [57].…”

mentioning

confidence: 99%

“…They are cost-effective and may be used in real time applications [59]. The PI controller has high gain values in DC systems and sufficient performance in DC signal control applications [68].…”

mentioning

confidence: 99%

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

Stanelytė

Radziukynas

2022

Energies

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The rapid development of renewable energy sources and electricity storage technologies is further driving the change and evolution of traditional energy systems. The aim is to interconnect the different electricity systems between and within countries to ensure greater reliability and flexibility. However, challenges are faced in reaching it, such as the power grid complexity, the system control, voltage fluctuations due to the reverse power flow, equipment overloads, resonance, incorrect island setting, and the diversity of user needs. The electricity grid digitalization in the market also requires the installation of smart devices to enable real-time information exchange between the generator and the user. Inverter-based distributed generation (DG) may be used to control the grid voltage. Smart PV inverters have the capability to supply both inductive and capacitive reactive power to control the voltage at the point of interconnection with the grid, and only technical parameters of smart PV inverters limit this capability. Reactive power control is related to ensuring the quality of voltage in the electricity distribution network and compensating reactive power flows, which is a technical–economic aspect. The goal of this research is to present an analysis of controllers that supply reactive power to the electrical grid via PV systems. This research analyzes recent research on local, centralized, distributed, and decentralized voltage control models in distribution networks. The article compares various approaches and highlights their advantages and disadvantages. The voltage control strategies and methodologies mentioned in the article can serve as a theoretical foundation and provide practical benefits for PV system development in distribution networks. The results of the research show that the local voltage control approach, as well as linear and intelligent controllers, has great potential.

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Optimized four-parameter PID controller for AVR systems with respect to robustness

Cited by 24 publications

References 25 publications

Temperature control technology based on Smith fuzzy PID

Temperature control technology based on Smith fuzzy PID

Adaptive tuning of PID using chef‑based optimization algorithm for improving automatic voltage regulator

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

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