By Qingsong Xu, Kok Kiong Tan
This e-book explores rising tools and algorithms that permit particular keep an eye on of micro-/nano-positioning structures. The textual content describes 3 keep watch over techniques: hysteresis-model-based feedforward keep an eye on and hysteresis-model-free suggestions regulate according to and unfastened from nation commentary. each one paradigm gets committed awareness inside a specific a part of the text.
Readers are proven easy methods to layout, validate and observe a number of new keep watch over techniques 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 increase to a close therapy of useful purposes within the fourth a part of the booklet. The purposes concentrate on regulate of piezoelectric grippers.
Advanced regulate of Piezoelectric Micro-/Nano-Positioning Systems will help educational researchers and practicing regulate and mechatronics engineers attracted to suppressing assets of nonlinearity corresponding to hysteresis and glide while combining place and strength keep watch over of precision platforms with piezoelectric actuation.
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Extra info for Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems
Sample text
Sliding mode control of a piezoelectric actuator with neural network compensating rate-dependent hysteresis. In: Proceeding of IEEE International Conference on Robotics and Automation, pp. 3641–3645 (2005) 77. : Sliding mode control with soft computing: A survey. IEEE Trans. Ind. Electron. 56(9), 3275–3285 (2009) 78. : Dynamic Preisach modelling of hysteresis for the piezoceramic actuator system. Mech. Mach. Theory 37(1), 75–89 (2002) Part I Hysteresis-Model-Based Feedforward Control Chapter 2 Feedforward Control Based on Inverse Hysteresis Models This chapter presents the rate-dependent hysteresis compensation of a piezoelectric nanopositioning stage using the feedforward control based on an inverse hysteresis model.
Hence, a state observer is indispensable for the practical realization of DTSMC, which Fig. 5 Robust Feedback Control 11 complicates the control design procedure. Furthermore, an improperly designed state observer may cause instability of the system. In this sense, it is desirable to eliminate the use of a state observer. In previous works, an input–output based adaptive DTSMC has been developed in [55], which is based solely on input and output data. However, the controller is dedicated to a first-order model with long dead-time.
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