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Adaptive Sliding-Mode Control with Self-Tuning Fuzzy Compensation for a Piezoelectric-Actuated X-Y-Z Table

机译:压电驱动的X-Y-Z表的具有自调节模糊补偿的自适应滑模控制

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This paper aims to develop and implement intelligent control for a X-Y-Z three-dimensional table using linear ultrasonic motors as the actuators. Functional approximation technique (FAT) is integrated with the sliding-mode control design to capture the unknown system dynamics and release the requirement of mathematical modeling. In order to deal with the approximation error and the uncertainties of the system, an adaptive fuzzy sliding-mode controller (AFSMC) is used as a compensation of the FAT-based sliding-mode control. Lyapunov stability theory is applied to assure the closed-loop stability and design the updating laws for weighting coefficients of Fourier series and fuzzy tuning parameters. Experimental results indicate that FAT-based sliding-mode control augmented with AFSMC compensation (FA+AFSMC) performs better than the solely FAT-based sliding-mode control.
机译:本文旨在开发和实现使用线性超声马达作为执行器的X-Y-Z三维工作台的智能控制。功能逼近技术(FAT)与滑模控制设计集成在一起,以捕获未知的系统动力学并释放数学建模的要求。为了处理系统的逼近误差和不确定性,自适应模糊滑模控制器(AFSMC)被用作基于FAT的滑模控制的补偿。应用李雅普诺夫稳定性理论来确保闭环稳定性,并设计傅立叶级数加权系数和模糊调整参数的更新规律。实验结果表明,与基于FAT的滑模控制相比,通过AFSMC补偿(FA + AFSMC)增强的基于FAT的滑模控制的性能更好。

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