Adaptive Neuro-fuzzy approach in friction identification

4th International Conference on Manufacturing, Optimization, Industrial and Material Engineering

Ismail, Muhammad Zaiyad Muda^1

Fakulti Kejuruteraan Mekanikal, Universiti Teknologi MARA, Selangor, Shah Alam, Malaysia^1

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Adaptive neuro-fuzzy;    Artificial intelligent;    Complex computation;    Friction identifications;    Neural network and fuzzy logic;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/131/1/012015/pdf
DOI  :  10.1088/1757-899X/131/1/012015

来源: IOP

【 摘 要 】

Friction is known to affect the performance of motion control system, especially in terms of its accuracy. Therefore, a number of techniques or methods have been explored and implemented to alleviate the effects of friction. In this project, the Artificial Intelligent (AI) approach is used to model the friction which will be then used to compensate the friction. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is chosen among several other AI methods because of its reliability and capabilities of solving complex computation. ANFIS is a hybrid AI-paradigm that combines the best features of neural network and fuzzy logic. This AI method (ANFIS) is effective for nonlinear system identification and compensation and thus, being used in this project.