Immersion and Invariance Manifold Adaptive Control of the DC-Link Voltage in Flywheel Energy Storage System Discharge

In order to keep constant DC-link voltage of a flywheel energy storage system (FESS) discharge in a wide rotational speed range, the control structure of the FESS is comprised of an inner current loop and an outer DC-link voltage loop. Since the dynamic equation of the DC-link voltage in the FESS discharge is nonlinear, it is difficult for some controllers to make the DC-link voltage in discharge be constant as the rotational speed is varying in a large range. Considering the nonlinearity of the DC-link voltage in discharge and the fast discharge requirements of the FESS, an immersion and invariance manifold (I&IM) adaptive nonlinear controller for a constant DC-link voltage is proposed via methodology of immersed in the invariant manifold. The stability of the control algorithm and the influence of the parameter error on the stability are verified by the Lyapunov stability theory, and the influence of the parameters error on the steady state and transient characteristics of the closed-loop system is analyzed numerically. It is proved that the closed-loop system satisfies the global uniform asymptotic stability conditions at the equilibrium point, and the error of the model parameters does not affect the equilibrium point of the system. Finally, the effectiveness of the I&IM adaptive nonlinear controller were studied by simulation and experiment. The results show that the DC-link voltage in discharge remains stable when switching the system load in cases of different rotational speeds and loads.

[1]  Alessandro Astolfi,et al.  Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability , 2011, IEEE Transactions on Control Systems Technology.

[2]  Shuhei Kato,et al.  Combination of Flywheel Energy Storage System and Boosting Modular Multilevel Cascade Converter , 2018, IEEE Transactions on Applied Superconductivity.

[3]  Mehran Hosseini-Pishrobat,et al.  Design and Experimental Evaluation of Immersion and Invariance Observer for Low-Cost Attitude-Heading Reference System , 2020, IEEE Transactions on Industrial Electronics.

[4]  Leszek Jarzebowicz,et al.  Errors of a Linear Current Approximation in High-Speed PMSM Drives , 2017, IEEE Transactions on Power Electronics.

[5]  Osama A. Mohammed,et al.  Modeling and Control of a Low-Speed Flywheel Driving System for Pulsed-Load Mitigation in DC Distribution Networks , 2015, IEEE Transactions on Industry Applications.

[6]  Yujie Wang,et al.  Function Approximation Technique Based Immersion and Invariance Control for Unknown Nonlinear Systems , 2020, IEEE Control Systems Letters.

[7]  Antoni Arias,et al.  Fixed Switching Period Discrete-Time Sliding Mode Current Control of a PMSM , 2018, IEEE Transactions on Industrial Electronics.

[8]  Andreas Sumper,et al.  Control of a Flywheel Energy Storage System for Power Smoothing in Wind Power Plants , 2014, IEEE Transactions on Energy Conversion.

[9]  Yu Wang,et al.  Distributed Resilient Control for Energy Storage Systems in Cyber–Physical Microgrids , 2021, IEEE Transactions on Industrial Informatics.

[10]  B.H. Kenny,et al.  Control of a high-speed flywheel system for energy storage in space applications , 2005, IEEE Transactions on Industry Applications.

[11]  Xiao-Heng Chang,et al.  Estimation for a Class of Parameter-Controlled Tunnel Diode Circuits , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[12]  Gevork B. Gharehpetian,et al.  Review of Flywheel Energy Storage Systems structures and applications in power systems and microgrids , 2017 .

[13]  Taha Selim Ustun,et al.  Comparative Review of Energy Storage Systems, Their Roles, and Impacts on Future Power Systems , 2019, IEEE Access.

[14]  Alessandro Astolfi,et al.  Immersion and invariance: a new tool for stabilization and adaptive control of nonlinear systems , 2001, IEEE Trans. Autom. Control..

[15]  Xiang Zhang,et al.  A Robust Flywheel Energy Storage System Discharge Strategy for Wide Speed Range Operation , 2017, IEEE Transactions on Industrial Electronics.

[16]  Wei Xue,et al.  Active Disturbance Rejection Control for a Flywheel Energy Storage System , 2015, IEEE Transactions on Industrial Electronics.

[17]  Dan Wang,et al.  Charging and discharging control for flywheel battery driven by switched reluctance machine , 2016, 2016 12th World Congress on Intelligent Control and Automation (WCICA).

[18]  Fayez F. M. El-Sousy,et al.  Adaptive nonlinear disturbance observer using double loop self-organizing recurrent wavelet-neural-network for two-axis motion control system , 2016, 2016 IEEE Industry Applications Society Annual Meeting.

[19]  Bin Zhang,et al.  Semi-global robust tracking consensus for multi-agent uncertain systems with input saturation via metamorphic low-gain feedback , 2019, Autom..

[20]  Yilmaz Sozer,et al.  Maximum Torque per Ampere Control for Buried Magnet PMSM Based on DC-Link Power Measurement , 2017, IEEE Transactions on Power Electronics.

[21]  Yasser Abdel-Rady I. Mohamed,et al.  Robust Energy Management of a Hybrid Wind and Flywheel Energy Storage System Considering Flywheel Power Losses Minimization and Grid-Code Constraints , 2016, IEEE Transactions on Industrial Electronics.

[22]  Sudipta Ghosh,et al.  An Energy Function-Based Optimal Control Strategy for Output Stabilization of Integrated DFIG-Flywheel Energy Storage System , 2017, IEEE Transactions on Smart Grid.

[23]  Juvenal Rodríguez-Reséndiz,et al.  Robust Speed Control of Permanent Magnet Synchronous Motors Using Two-Degrees-of-Freedom Control , 2018, IEEE Transactions on Industrial Electronics.

[24]  Kamal Al-Haddad,et al.  A comprehensive review of Flywheel Energy Storage System technology , 2017 .

[25]  Romeo Ortega,et al.  On State Observers for Nonlinear Systems: A New Design and a Unifying Framework , 2019, IEEE Transactions on Automatic Control.

[26]  Constantine J. Hatziadoniu,et al.  Cancellation of harmonic torque disturbance in permanent magnet synchronous motor drives by using an adaptive feedforward controller , 2018 .

[27]  Dorothée Normand-Cyrot,et al.  Sampled-Data Stabilization of Nonlinear Dynamics With Input Delays Through Immersion and Invariance , 2017, IEEE Transactions on Automatic Control.

[28]  Yanli Liu,et al.  Adaptive Fuzzy Output-Feedback Tracking Control for a Class of Switched Stochastic Nonlinear Time-Delay Systems , 2016, Circuits Syst. Signal Process..

[29]  Lech M. Grzesiak,et al.  Constrained State Feedback Speed Control of PMSM Based on Model Predictive Approach , 2016, IEEE Transactions on Industrial Electronics.

[30]  Saeed Lotfifard,et al.  Control of Flywheel Energy Storage Systems in the Presence of Uncertainties , 2019, IEEE Transactions on Sustainable Energy.

[31]  S. Jang,et al.  Operating Range Evaluation of Double-Side Permanent Magnet Synchronous Motor/Generator for Flywheel Energy Storage System , 2013, IEEE Transactions on Magnetics.

[32]  Weisheng Chen,et al.  Semiglobal Tracking Cooperative Control for Multiagent Systems With Input Saturation: A Multiple Saturation Levels Framework , 2021, IEEE Transactions on Automatic Control.

[33]  Yechen Qin,et al.  Adaptive Robust Nonlinear Active Suspension Control Using an Observer-Based Modified Sliding Mode Interval Type-2 Fuzzy Neural Network , 2020, IEEE Transactions on Intelligent Vehicles.

[34]  Hebertt Sira-Ramirez,et al.  Robust backstepping tracking controller for low speed PMSM positioning system: Design, analysis, and implementation , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).