Abstract
This paper develops a novel observer-based fault-tolerant control (FTC) for wind turbine blade pitch system subjected to simultaneous actuator and sensor faults. The main contribution of this paper is the proposal of new architecture based on a combination of sliding mode control (SMC) and a proportional–proportional–integral-observer (PPIO) to provide tight reference blade pitch angle tracking regardless of the effects of actuator and sensor faults. Within this architecture, an integral sliding surface-based SMC (ISMC) has been developed to stabilize tracking error dynamics during sliding phase while the system is subjected to actuator faults. The robust PPIO-based sensor fault estimation is utilized to compensate sensor fault from the input of ISMC and thereby guarantee closed-loop system robustness against actuator and sensor faults. Stability analysis has clearly demonstrated using linear matrix inequality and Lyapunov approach. The proposed method is applied to 4.8 MW wind turbine FTC benchmark model.
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References
Luo, N.; Vidal, Y.; Acho, L.: Wind Turbine Control and Monitoring. Springer, Berlin (2014)
Bianchi, D.F.; de Battista, H.; Mantz, J.R.: Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design. Springer, Berlin (2007)
Carriveau, R.: Fundamental and Advanced Topics in Wind Power. InTech, Rijeka (2011)
Badihi, H.; Zhang, Y.; Hong, H.: Fuzzy gain-scheduled active fault-tolerant control of a wind turbine. J. Frankl. Inst. 351, 3677–3706 (2014)
Stewart, G.; Lackner, M.: Offshore wind turbine load reduction employing optimal passive tuned mass damping systems. IEEE Trans. Control Syst. Technol. 21, 1090–1104 (2013)
Simani, S.; Castaldi, P.: Data-driven and adaptive control applications to a wind turbine benchmark model. Control Eng. Pract. 21, 1678–1693 (2013)
Odgaard, P.F.; Stoustrup, J.; Kinnaert, M.: Fault-tolerant control of wind turbines: a benchmark model. IEEE Trans. Control Syst. Technol. 21, 1168–1182 (2013)
Sami, M.; Patton, R.J.: Fault tolerant adaptive sliding mode controller for wind turbine power maximisation. Presented at the 7th IFAC Symposium on Robust Control Design, Aalborg Congress & Culture Centre, Denmark (2012)
Schulte, H.; Gauterin, E.: Fault-tolerant control of wind turbines with hydrostatic transmission using Takagi–Sugeno and sliding mode techniques. Annu. Rev. Control 40, 82–92 (2015)
Simani, S.: Overview of modelling and advanced control strategies for wind turbine systems. Energies 8, 12374 (2015)
Shi, F.; Patton, R.: An active fault tolerant control approach to an offshore wind turbine model. Renew. Energy 75, 788–798 (2015)
Vidal, Y.; Tutivén, C.; Rodellar, J.; Acho, L.: Fault diagnosis and fault-tolerant control of wind turbines via a discrete time controller with a disturbance compensator. Energies 8, 4300 (2015)
Sloth, C.; Esbensen, T.; Stoustrup, J.: Robust and fault-tolerant linear parameter-varying control of wind turbines. Mechatronics 21, 645–659 (2011)
Sami, M.; Patton, R.J.: A fault tolerant control approach to sustainable offshore wind turbines. In: Luo, N., Vidal, Y., Acho, L. (eds.) Wind Turbine Control and Monitoring. Springer, Berlin (2014)
Shaker, M.S.; Patton, R.J.: Active sensor fault tolerant output feedback tracking control for wind turbine systems via T–S model. Eng. Appl. Artif. Intell. 34, 1–12 (2014)
Benbouzid, M.; Beltran, B.; Amirat, Y.; Yao, G.; Han, J.; Mangel, H.: Second-order sliding mode control for DFIG-based wind turbines fault ride-through capability enhancement. ISA Trans. 53, 827–833 (2014)
Sami, M.; Patton, R.J.: Wind turbine sensor fault tolerant control via a multiple-model approach. Presented at The 2012 UKACC International Conference on Control, Cardiff (2012)
Sami, M.; Patton, R. J.: An FTC approach to wind turbine power maximisation via T–S fuzzy modelling and control. In: 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexico, pp. 349–354 (2012)
Odgaard, P.F.; Stoustrup, J.; Kinnaert, M.: Fault tolerant control of wind turbines: a benchmark model. Presented at the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Safeprocess 2009, Barcelona (2009)
Edwards, C.; Spurgeon, S.: Sliding Mode Control: Theory and Applications. Taylor & Francis, London (1998)
Shaker, M.S.: Integral sliding mode approach to robust control systems against friction force. Arab. J. Sci. Eng. 41, 3695–3702 (2016)
Shtessel, Y.; Christopher, E.; Leonid, F.; Arie, L.: Sliding Mode Control and Observation. Springer, Berlin (2014)
Shaker, M.S.: A robust adaptive observer-based time varying fault estimation. Amirkabir Int. J. Model. Identif. Simul. Control 47, 11–19 (2015)
Hace, A.; Franc, M.: FPGA implementation of sliding-mode-control algorithm for scaled bilateral teleoperation. IEEE Trans. Ind. Inform. 9, 1291–1300 (2013)
Sencer, B.; Mori, T.; Shamoto, E.: Design and application of a sliding mode controller for accurate motion synchronization of dual servo systems. Control Eng. Pract. 21, 1519–1530 (2013)
Nise, N.S.: Control Systems Engineering, 6th edn. Wiley, New York (2011)
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Shaker, M.S., Kraidi, A.A. Robust Fault-Tolerant Control of Wind Turbine Systems Against Actuator and Sensor Faults. Arab J Sci Eng 42, 3055–3063 (2017). https://doi.org/10.1007/s13369-017-2525-z
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DOI: https://doi.org/10.1007/s13369-017-2525-z