Abstract
Friction is an important factor affecting low velocity performance of system. Not only does it result in steady state error, but also cause system to produce crawl and surge. And thus, high precision control is difficult to implement with traditional control method. The self adaptive algorithm can estimate unknown parameters on-line, fuzzy control can prevent the vibration caused by sliding mode and grey prediction controller can estimate next-step output of system with a few data. Based on Stribeck fiction model, the integrated grey self adaptive fuzzy sliding mode control (IGAFSMC) for flight simulator servo system is presented by combining self adaptive control with fuzzy sliding mode control & grey prediction control. Simulation results indicate that the proposed integrated controller can be used to effectively suppress the influence of friction moment, resulting in high precision position trace and better robust. Therefore, it is worthy to extend the model to other nonlinear system control.
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Luo, Y., Che, X., He, Z., Yang, J. (2008). Grey Self Adaptive Fuzzy Sliding Mode Control for Flight Simulator Servo System. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_29
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DOI: https://doi.org/10.1007/978-3-540-88513-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
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