Transactions of China Electrotechnical Society  2019, Vol. 34 Issue (13): 2726-2733    DOI: 10.19595/j.cnki.1000-6753.tces.180839
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Dual Linear Motors Servo System Synchronization Control Based on SugenoType Fuzzy Neural Network and Complementary Sliding Mode Controller
Jin Hongyan, Zhao Ximei
School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China

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Abstract  A control method combined with Sugeno type fuzzy neural network (SFNN) synchronous compensator and complementary sliding mode controller (CSMC) is proposed for position synchronization control problems of dual linear motors servo system in a high precision direct drive gantry position stage. The permanent magnet linear synchronous motor (PMLSM) dynamic model with uncertainties such as parameter variations, external disturbances and friction forces was established, and CSMC is designed by the combination of generalized sliding surface and complementary sliding surface. CSMC can efficiently suppress the influence of uncertainties and weaken the chattering phenomenon in the traditional sliding mode controller (SMC), reduce the tracking errors of the system and achieve high precision position tracking. Meanwhile, SFNN synchronous controller is used to solve the dynamic parameter unmatched problems between two linear motors and the coupling phenomenon. SFNN can make error compensation for each axis, so that it can reduce the position synchronization error and guarantee synchronization control of the system. The experimental results show that the control method can significantly reduce the tracking error and synchronization error of the system, and further improve the accuracy of contour processing.
Key wordsDual linear motors servosystem      Sugeno type fuzzy neural network(SFNN)      complementary sliding mode controller(CSMC)      uncertainties      synchronization control     
Received: 15 May 2018      Published: 17 July 2019
PACS: TP273  
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Jin Hongyan
Zhao Ximei
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Jin Hongyan,Zhao Ximei. Dual Linear Motors Servo System Synchronization Control Based on SugenoType Fuzzy Neural Network and Complementary Sliding Mode Controller[J]. Transactions of China Electrotechnical Society, 2019, 34(13): 2726-2733.
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