This paper proposes a novel adaptive fuzzy super-twisting slidingmode control scheme for microgyroscopes with unknown model\nuncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular\nvelocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting\nalgorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the supertwisting\nsliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller\nparameters. Simulation results verify the superiority and the effectiveness of the proposed approach, compared with adaptive supertwisting\nsliding mode control without fuzzy approximation; the proposed method is more effective.
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