GA-based fuzzy sliding mode governor for hydro-turbine

Qian, Dianwei; Yi, Jianqiang; Liu, Xiangjie; Li, Xin

doi:10.1109/icicip.2010.5565249

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…According to previous research on PID control, the conventional control algorithm gives good results at infinite steady state; the only difficulty occurs when the reference trajectory is fluctuating [2,3,4]. This paper builds on the ideas presented in [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Optimal LQG controller to adjust the rudder supplying water to the turbine of small and medium hydro power plants

Ngoc¹

2021

ing. Solidar

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Introduction: This paper is the result of the research “Optimal LQG controller to open rudder supplying water to turbine of small and medium hydro power plants” developed in the Electric Power University in Vietnam in 2019. Problem: To maintain the frequency of the emitted voltage of the generator at the nominal value of 50 Hz, the authors present a solution to apply the optimal control theory to create a command to control the rudder angle to adjust the water flow into the turbine. Objective: The article presented about the order value formation algorithm, to stabilize the frequency of transmission voltage at 50 Hz standard value. Methodology: In this paper, the laws to control the rudder supplying water to turbine of small and medium hydro power plants are synthesized by optimal control theory. To establish optimal control rules, the paper proposes using the Kalman filter to estimate the state of the object. By that, the frequency of generated voltage will be stabilized under changing load. The efficacy of the steady and dynamic performance of the control strategy was verified using Matlab/Simulink software. Results: The proposed system can compensate for power fluctuations and is effective in terms of power regulation. Conclusion: The algorithm presented in the paper is the basis for setting up the software when when designing and manufacturing the turbine - generator combination. Applying this algorithm, the process of adjusting the transmitted power according to the required load will be performed with quality. Originality: This paper’s contribution lies in its employment of an effective optimal LQG control for varying operating conditions. Limitations: The authors need to spend more time to the development and and test this algorithm and and implementing it in practice.

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Section: Introductionmentioning

confidence: 99%

Optimal LQG controller to adjust the rudder supplying water to the turbine of small and medium hydro power plants

Ngoc¹

2021

ing. Solidar

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“…Thus control parameter optimization seems more suitable to improve control quality for actual situation. To optimize PID controller, some popular optimization algorithms, including genetic algorithm (GA) [14], particle swarm optimization 2 Complexity (PSO) [15], gravitational search algorithm (GSA) [16,17], and ant lion optimization (ALO) [18], have been successfully applied in parameter optimization of HTGS. All these algorithms optimize the PID parameters by optimizing one objective function which means the optimal parameters are under one single operating condition; few of the researches have taken multiple operation conditions into consideration.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Xia

et al. 2019

Complexity

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Hydraulic turbine governing system (HTGS) is essential equipment which regulates frequency and power of the power grids. In previous studies, optimal control of HTGS is always aiming at one single operation condition. The variation of operation conditions of HTGS is seldom considered. In this paper, multiobjective optimal function is proposed for HTGS under multiple operation conditions. In order to optimize the solution to the multiobjective problems, a novel multiobjective grey wolf optimizer algorithm with searching factor (sMOGWO) is also proposed with two improvements: adding searching step to search more no-domain solutions nearby the wolves and adjusting control parameters to keep exploration ability in later period. At first, the searching ability of the sMOGWO has been verified on several UF test problems by statistical analysis. And then, the sMOGWO is applied to optimize the solutions of the multiobjective problems of HTGS, while different algorithms are employed for comparison. The experimental results indicate that the sMOGWO is more effective algorithm and improves the control quality of the HTGS under multiple operation conditions.

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“…This tuning can be quite time consuming. In addition, the response of system with a fuzzy controller is not easy to predict [3].…”

Section: Introductionmentioning

confidence: 99%

“…Sliding mode control is a powerful control method that can produce a very robust closed-loop system under plant uncertainties and external disturbances [1]- [3], because the sliding mode can be designed entirely independent of these effects. Also, Sliding mode controllers are inherently stable.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fuzzy Logic Based Adaptive Super-Twisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems

Kareem¹

2012

IJAIA

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GA-based fuzzy sliding mode governor for hydro-turbine

Cited by 9 publications

References 22 publications

Optimal LQG controller to adjust the rudder supplying water to the turbine of small and medium hydro power plants

Optimal LQG controller to adjust the rudder supplying water to the turbine of small and medium hydro power plants

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

A Novel Fuzzy Logic Based Adaptive Super-Twisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems

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