Download e-book for kindle: Advanced Control of Piezoelectric Micro-/Nano-Positioning by Qingsong Xu, Kok Kiong Tan

By Qingsong Xu, Kok Kiong Tan

ISBN-10: 1848000200

ISBN-13: 9781848000209

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ISBN-13: 9781848824249

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ISBN-13: 9781852331382

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ISBN-13: 9783319216232

This ebook explores rising equipment and algorithms that allow distinct keep watch over of micro-/nano-positioning platforms. The textual content describes 3 keep an eye on concepts: hysteresis-model-based feedforward keep an eye on and hysteresis-model-free suggestions keep an eye on in line with and loose from kingdom remark. every one paradigm gets devoted awareness inside a specific a part of the text.

Readers are proven how you can layout, validate and observe quite a few new keep an eye on methods in micromanipulation: hysteresis modelling, discrete-time sliding-mode keep watch over and model-reference adaptive keep watch over. Experimental effects are supplied all through and building up to an in depth remedy of functional functions within the fourth a part of the e-book. The functions specialise in regulate of piezoelectric grippers.

Advanced keep an eye on of Piezoelectric Micro-/Nano-Positioning Systems will support educational researchers and training keep an eye on and mechatronics engineers attracted to suppressing assets of nonlinearity reminiscent of hysteresis and glide whilst combining place and strength keep watch over of precision platforms with piezoelectric actuation.

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Extra resources for Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems

Example text

Man Cybern. Part C, Appl. Rev. 36(6), 713–724 (2006) 43. : An approach to sliding-mode based control. IEEE Trans. Robot. Automat. 11(5), 754–759 (1995) 44. : Tracking system design based on digital minimum variance control with fuzzy sliding mode. In: Proceeding of 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS 2007), pp. 494–497. Nis, Serbia (2007) 45. : Sliding mode-based minimum variance and generalized minimum variance controls with O(T 2 ) and O(T 3 ) accuracy.

3 Hysteresis Modeling The purpose of hysteresis modeling is to capture the hysteresis behavior of the system. First, the hysteresis is modeled using the popular Bouc–Wen, MPI, and LSSVM models. In addition, the corresponding inverse hysteresis models are also derived for the purpose of hysteresis compensation. 1 Hysteresis Modeling with the Bouc–Wen Model Thanks to a fewer number of parameters, Bouc–Wen model has been widely employed in piezoelectric hysteresis modeling. 2) where t is the time variable; parameters m, b, k, and y represent the mass, damping coefficient, stiffness, and displacement response of the piezostage, respectively; d is the piezoelectric coefficient; u denotes the input voltage; and h indicates the hysteretic loop in terms of displacement whose magnitude and shape are determined by parameters α, β, γ , and the order n, with n governing the smoothness of the transition from elastic to plastic response.

Man Cybern. Part C, Appl. Rev. 36(6), 713–724 (2006) 43. : An approach to sliding-mode based control. IEEE Trans. Robot. Automat. 11(5), 754–759 (1995) 44. : Tracking system design based on digital minimum variance control with fuzzy sliding mode. In: Proceeding of 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS 2007), pp. 494–497. Nis, Serbia (2007) 45. : Sliding mode-based minimum variance and generalized minimum variance controls with O(T 2 ) and O(T 3 ) accuracy.

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Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems by Qingsong Xu, Kok Kiong Tan


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