The linear piezoelectric ceramic motor (LPCM) has much merit, such as high precision, fast control dynamics, large driving force, smaller dimension, high holding force, silence, and a minimum step size that is less than that of the class of electromagnetic motors. In this chapter, a robust intelligent motion control (RIMC) system is developed for the LPCM. The RIMC system comprises a neural controller and a robust controller. The neural controller utilizes a self-constructing neural network (SCNN) to mimic an ideal feedback controller, and the robust controller is designed to achieve L 2 tracking performance with desired attenuation level. If the hidden neuron of the SCNN is insignificant, it should be removed to reduce the computation load; otherwise, it should be retained. Finally, the experimental results show that a perfect tracking response of LPCM can be achieved by using the proposed RIMC method.
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Hsu, CF., Lee, BK., Lee, TT. (2008). Robust Intelligent Motion Control for Linear Piezoelectric Ceramic Motor System Using Self-constructing Neural Network. In: Chan, A.H.S., Ao, SI. (eds) Advances in Industrial Engineering and Operations Research. Lecture Notes in Electrical Engineering, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74905-1_27
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