Feedback Linearization and Reaching Law Based Sliding Mode Control Design for Nonlinear Hydraulic Turbine Governing System

Hydropower as renewable energy has continually expanded at a relatively high rate in the last decade. This expansion calls for more accurate scheme design in hydraulic turbine governing system (HTGS) to ensure its high efficiency. Sliding mode control (SMC) as a robust control method which is insensitive to system uncertainties and disturbances raises interest in the application in HTGS. However, the feature of highly coupled state variables reflects the nonlinear essence of HTGS and SMC studies on the related mathematical model under certain fluctuations are not satisfied. In this regard, a novel SMC design with proportional-integral-derivative manifold is firstly applied to a nonlinear HTGS with a complex conduit system. In dealing with certain fluctuations in speed and load around the rated working condition, the proposed SMC is capable of driving the system to the desired state with smooth and light responses in aspects of the key state variables. The exponential reaching law and introduced boundary layer fasten the speed of converging time and suppress chattering. A necessary integral of sliding parameter added to manifold successfully reduces the latency caused by the anti-regulation feature of HTGS. Three operating scenarios are simulated compared with the PSO-PID method, and results imply that the proposed SMC method equips with accurate trajectory tracking ability and smooth responses. Finally, the strong robustness against system uncertainties is tested.

[1]  Nand Kishor,et al.  Dynamic simulations of hydro turbine and its state estimation based LQ control , 2006 .

[2]  Yanbin Yuan,et al.  Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method , 2016, Math. Comput. Simul..

[3]  F. G. Martins Tuning PID Controllers using the ITAE Criterion * , 2022 .

[4]  Wencheng Guo,et al.  Modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank , 2018, Renewable Energy.

[5]  Johan Bladh,et al.  Hydraulic damping mechanism of low frequency oscillations in power systems: Quantitative analysis using a nonlinear model of hydropower plants , 2018 .

[6]  Yang Zheng,et al.  Synergetic governing controller design for the hydraulic turbine governing system with complex conduit system , 2018, J. Frankl. Inst..

[7]  Miao Li,et al.  Nonlinear adaptive decentralized stabilizing control for the hydraulic turbines' governor system , 2011, 2011 International Conference on Advanced Power System Automation and Protection.

[8]  Beibei Xu,et al.  Nonlinear modeling and dynamic analysis of hydro-turbine governing system in the process of load rejection transient , 2015 .

[9]  Keyun Zhuang,et al.  Excitation Current Analysis of a Hydropower Station Model Considering Complex Water Diversion Pipes , 2017 .

[10]  Diyi Chen,et al.  Nonlinear dynamical analysis of hydro-turbine governing system with a surge tank , 2013 .

[11]  C. K. Sanathanan Accurate Low Order Model for Hydraulic Turbine-Penstock , 1987, IEEE Transactions on Energy Conversion.

[12]  Jinkun Liu,et al.  Advanced Sliding Mode Control for Mechanical Systems , 2011 .

[13]  Bin Wang,et al.  Finite‐time control for a fractional‐order non‐linear HTGS , 2019, IET Renewable Power Generation.

[14]  Igor Škrjanc,et al.  Modelling and Internal Fuzzy Model Power Control of a Francis Water Turbine , 2014 .

[15]  Shen Zu-yi,et al.  Modeling and Simulation of Hydraulic Transients for Hydropower Plants , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[16]  Bhim Singh,et al.  A Composite Sliding Mode Controller for Wind Power Extraction in Remotely Located Solar PV–Wind Hybrid System , 2019, IEEE Transactions on Industrial Electronics.

[17]  K. Sathish Kumar,et al.  A review on hybrid renewable energy systems , 2015 .

[18]  Wencheng Guo,et al.  Nonlinear Disturbance Decoupling Control for Hydro-Turbine Governing System with Sloping Ceiling Tailrace Tunnel Based on Differential Geometry Theory , 2018, Energies.

[19]  Guo Lei Application improved particle swarm algorithm in parameter optimization of hydraulic turbine governing systems , 2017, 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC).

[20]  Nand Kishor,et al.  Simulated response of NN based identification and predictive control of hydro plant , 2007, Expert Syst. Appl..

[21]  J. A. Tegopoulos,et al.  Investigation of oscillatory problems of hydraulic generating units equipped with Francis turbines , 1997 .

[22]  Linyun Xiong,et al.  Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law , 2017 .

[23]  Radu-Emil Precup,et al.  Model-free sliding mode control of nonlinear systems: Algorithms and experiments , 2017, Inf. Sci..

[24]  Hieu Minh Trinh,et al.  Robust observer and observer-based control designs for discrete one-sided Lipschitz systems subject to uncertainties and disturbances , 2019, Appl. Math. Comput..

[25]  Shen Zu-yi OPTIMAL HYDRAULIC TURBOGENERATORS PID GOVERNOR TUNING WITH AN IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM , 2005 .

[26]  Ole Gunnar Dahlhaug,et al.  Experimental Investigation of a Francis Turbine during Exigent Ramping and Transition into Total Load Rejection , 2018, Journal of Hydraulic Engineering.

[27]  Radu-Codrut David,et al.  Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers , 2019 .

[28]  Yongchuan Tang,et al.  Global fast terminal sliding mode control based on radial basis function neural network for course keeping of unmanned surface vehicle , 2019 .

[29]  Yang Zheng,et al.  Design of integrated synergetic controller for the excitation and governing system of hydraulic generator unit , 2017, Eng. Appl. Artif. Intell..

[30]  R. P. Saini,et al.  A review on hydropower plant models and control , 2007 .

[31]  Xiaohui Yuan,et al.  Parameter estimation of fuzzy sliding mode controller for hydraulic turbine regulating system based on HICA algorithm , 2019, Renewable Energy.

[32]  陳鴻誠 Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells , 2013 .

[33]  Antonella Ferrara,et al.  Adaptive suboptimal second-order sliding mode control for microgrids , 2016, Int. J. Control.

[34]  Jianxu Zhou,et al.  New Elastic Model of Pipe Flow for Stability Analysis of the Governor-Turbine-Hydraulic System , 2011 .

[35]  Joaquín Izquierdo,et al.  Mathematical modelling of hydraulic transients in simple systems , 2002 .

[36]  Chuntian Cheng,et al.  China’s large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities , 2019, Renewable Energy.

[37]  Nan Zhang,et al.  Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation , 2017, Inf. Sci..