Series pid pitch controller of large wind turbines generator

Micic, D Aleksandar; Matausek, R Miroslav

doi:10.2298/sjee1502183m

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…[3][4][5][6][7] The impact of clinker cooling and heat recovery is influenced by the grate cooler pressure, [8][9][10][11] which serves as a crucial parameter and illustrates the equilibrium relationship between hot material and cool air. [12][13][14] The temperature of the clinker was initially measured using thermocouples in grate coolers in order to properly cool the clinker, and the air pressure was then adjusted. 15,16 However, this was ineffective since thermocouples or any other temperature sensor components could not withstand ambient temperature.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, maintaining output volume and lowering energy consumption depend greatly on the steady regulation of clinker cooling process 3–7 . The impact of clinker cooling and heat recovery is influenced by the grate cooler pressure, 8–11 which serves as a crucial parameter and illustrates the equilibrium relationship between hot material and cool air 12–14 …”

Section: Introductionmentioning

confidence: 99%

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Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

Brijet¹,

Suresh²

2023

Optim Control Appl Methods

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The minimum air pressure necessary at the grate to penetrate a bed of heated clinker of a certain thickness and permeability is known as under‐grate pressure. It is vital to keep the under‐grate pressure consistent because excessive pressure causes the clinker to form an unstable suspension and minimum pressure allows heat from the clinker to harm the cooler grates. So it is necessary to obtain excellent performance through reasonable control methods. For this purpose, this article proposes an optimization approach for a proportional integral derivative (PID) controller to control the pressure below the grate of the clinker cooler. The proposed optimization approach is the honey badger algorithm (HBA), which mimics the feeding habits of honey badgers. The main aim of proposed approach is to maintain and regulate under‐grate pressure of clinker cooler using HBA and provide optimum cooling rate to clinker. The proposed approach based grate cooler also provide the less electricity consumption and stable temperature. The proposed technique is implemented in MATLAB and its efficiency is compared to various existing techniques. From the simulation, the electricity consumption of proposed approach RMSE is 158 and mean accuracy is 98.65. Under‐grate pressure based RMSE is 5.01 and the mean accuracy become 99.55. The outlet temperature based RMSE of proposed approach is 4.32 and mean accuracy is 81.21. These values are lower than existing approaches, it reveals the proposed approach is better than the existing one.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

Brijet¹,

Suresh²

2023

Optim Control Appl Methods

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The operation and control system of the small dual wind turbine manufactured

Salih,

Khalifa,

Alkarim

2024

Electromechanical Engineering and Its Applications

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PIDD2 Control of Large Wind Turbines’ Pitch Angle

2023

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The pitch control system has a profound impact on the development of wind energy, and yet a delay or non-minimum phase can weaken its performance. Thus, there is a strong incentive to enhance pitch control technology in order to counteract the negative effects of unidentified delays and non-minimum phase characteristics. To reduce the complexity of the parameter-tuning process and improve the performance of the system, in this paper, we propose a novel control method for wind turbine pitch angle with time delays. Specifically, the proposed control method is state-space PIDD2, which is based on internal model control (IMC) and the open-loop system step response. Then, considering the tracking, disturbance rejection and measurement noise, the proposed controller is verified through simulations. The simulation results demonstrate that the state-space PIDD2 (SS-PIDD2) can provide a trade-off between robustness, time domain performance and measurement noise attenuation and effectively improve pitch control performance in contrast to series PID and PI control methods.

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Series pid pitch controller of large wind turbines generator

Cited by 3 publications

References 5 publications

Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

Optimum control of under‐grate pressure of clinker cooler by optimizing the proportional integral derivative controller parameters using honey badger algorithm technique

The operation and control system of the small dual wind turbine manufactured

PIDD2 Control of Large Wind Turbines’ Pitch Angle

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