Neuron model-free controller with fuzzy self-tuning gain for turning processes

Ning Wang; Jianming Zhang; Shuqing Wang

doi:10.1117/12.385510

9 May 2000 Neuron model-free controller with fuzzy self-tuning gain for turning processes

Ning Wang, Jianming Zhang, Shuqing Wang

Proceedings Volume 4077, International Conference on Sensors and Control Techniques (ICSC 2000); (2000) https://doi.org/10.1117/12.385510
Event: International Conference on Sensors and Control Techniques (ICSC2000), 2000, Wuhan, China

Abstract

The constant turning force adaptive control system design is a key link of machining automation. Because of the nonlinearities, time-varying parameters and uncertainties in turning processes, it is difficult to obtain satisfied performances for modeling based control methods. In this paper, the incremental neuron model-free control method with fuzzy self-tuning gain is proposed for cutting processes. In order to reach the purposes of enhancing the control system stability and improving the dynamic performances, the new control method keeps the cutting force to be constant by changing the controller gain on-line when a cutting tool cuts at various cutting depths or the spindle operates in different speeds. The simulation results of using the new neuron controller for a cutting process show that very strong robustness, good disturbances resistant and satisfied performances are obtained. The new control method is very simple and can be easily implemented in practical cutting processes.

Citation Download Citation

Ning Wang, Jianming Zhang, and Shuqing Wang "Neuron model-free controller with fuzzy self-tuning gain for turning processes", Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); https://doi.org/10.1117/12.385510

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