Double Fuzzy Pitch Controller of Wind Turbine Designed by Genetic Algorithm

Zheng, Shi-Guang; Chang, Cheng-Kuo; Pan, Jeng‐Shyang

doi:10.1109/cacs50047.2020.9289749

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…There are many studies on tuning the PID controller in the pitch control of Wind Turbines for limiting the aerodynamic power, reducing loading and enhancing dynamic stability in the Wind Turbines. Direct Search Optimization (DSO), GA and MFO are applied in , Gao and Gao, (2016), Zheng et al (2020) and Ebrahim et al (2018) respectively to tune the PI controller in the pitch control of WT operating in region III. The GA is accepted for its precision in tuning, however, it can provide a sub-optimal solution (Sinha and Chandel, 2015).…”

Section: Problem Statementmentioning

confidence: 99%

Optimal PI Pitch Control of Doubly-Fed Induction Generator Wind Turbine for Enhancing Dynamic Stability Using Grey Wolf Optimizer

Sule¹

2022

Direct Research Journal of Engineering and Information Technology

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The nonlinear relationship between the wind turbine power coefficient, tip speed ratio, and pitch angle makes tuning the Proportional Integral (PI) controller in the Wind Turbine pitch control for optimal control performance a difficult task. The Grey Wolf Optimizer (GWO) is proposed in this paper to tune the PI controller in pitch control of the Double-Fed Induction Generator (DFIG) Wind Turbine (WT) by minimizing power error. The goal is to create a GWO tuned PI pitch control that outperforms Particle Swarm Optimization (PSO) and Genetic Algorithm tuned PI-based pitch controls on the DFIG Wind Turbine. The tuning of the PI controller in pitch control was formulated as a cost function minimization with bounded gains as constraints. In MATLAB, the GWO, PSO, and GA codes were run separately to minimize the cost function while computing the optimal controller gains. The computed PI gains and the Zeigler Nichols (ZN) baseline gains were loaded into the PI controller of the DFIG-based pitch control of WTs connected to the double-circuit distribution line. The GWO was discovered to converge faster than the PSO, whereas the GA was trapped in a local optimum. Furthermore, simulation tests demonstrated that the GWO-based tuning improved the dynamic stability of WT output when compared to its counterpart algorithms. When compared to the PSO, GA, and ZN algorithms, the GWO algorithm provides a faster settling time in the step response of the pitch angle, which can reduce stress on the pitch actuator.

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Section: Problem Statementmentioning

confidence: 99%

Optimal PI Pitch Control of Doubly-Fed Induction Generator Wind Turbine for Enhancing Dynamic Stability Using Grey Wolf Optimizer

Sule¹

2022

Direct Research Journal of Engineering and Information Technology

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“…These fuzzy controllers employ generator power as input of the fuzzy controller. Likewise, in [46,47], pitch angle control is achieved with FLC and GA. In these control schemes, power error and the power error rate of change are used as inputs of the FLC system.…”

Section: Introductionmentioning

confidence: 99%

Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach

2022

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An important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization of a wind turbine are all impacted by this controller. In this study, a 2 MW doubly fed induction generator wind turbine’s blade angle controller design with a novel fuzzy logic controller is tested in a simulated environment. The evolutionary algorithm technique is used to optimize the fuzzy logic controller with three inputs. A genetic algorithm is used to optimize the specified pitch angle controller for a number of coefficients. After the optimization process, the controller’s performance is assessed in terms of power output, overshoot, and steady-state error characteristics.

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Combined Predictive Feedforward and Feedback Control for Blade Pitch of Wind Turbine

Chang

Zheng

2021

2021 International Automatic Control Conference (CACS)

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Double Fuzzy Pitch Controller of Wind Turbine Designed by Genetic Algorithm

Cited by 4 publications

References 15 publications

Optimal PI Pitch Control of Doubly-Fed Induction Generator Wind Turbine for Enhancing Dynamic Stability Using Grey Wolf Optimizer

Optimal PI Pitch Control of Doubly-Fed Induction Generator Wind Turbine for Enhancing Dynamic Stability Using Grey Wolf Optimizer

Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach

Combined Predictive Feedforward and Feedback Control for Blade Pitch of Wind Turbine

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