Papers by Author: Z. Yang

Abstract: A high speed painting automizor system with elastic support is presented. Experimental tests of the system including the key part, the rotor-bearing system, were conducted using the experimental modal method under various working conditions. The natural frequency of the system is given and the relationship between the bearing stiffness and the natural frequency and amplitude are studied. Fault of the bearing GCr15 is analyzed. The experiment has three parts including the experimental theory, experimental design, and experimental data processing. The results will lay a solid foundation for further investigation on dynamic design, maintenance, working condition monitoring and fault detection of the painting automizor system.

Abstract: One of key approaches to improve the productivity is to control with constant force in the milling process by adjusting the feed rate. In order to overcome the mismatch model occurred in adaptive control and inaccurate deducing regulation in fuzzy logic control, a three-layer BP neural network is designed for tracing reference force. First of all, control arithmetic is given, and a series of simulation work is achieved to determine the study factor. At last, aimed at two working conditions with abrupt and gradual change of cutting depth, the correctness and effectiveness of the neural network controller are proved by experiments.