TY - GEN
T1 - Design of AUV height control based on adaptive neuro-fuzzy inference system
AU - Shi, Xiaocheng
AU - Chen, Jiang
AU - Yan, Zheping
AU - Li, Tao
PY - 2010
Y1 - 2010
N2 - This paper studies the applications of Adaptive Neuro-Fuzzy Inference Systems(ANFIS) in the Autonomous Underwater Vehicle(AUV) height control system. A control method of ANFIS is mentioned after absorbing the advantages of fuzzy logic and neural network. According to the data fedback by sensors, this method can get the needed fuzzy membership functions and fuzzy rules by self-study, which composes the control system containing better performance than single neuro network system or single fuzzy system. Use the designed AUV height controller to complete the simulation experiments when AUV receives different height instructions on seafloor. The simulation experiments show that the controller has obvious effect in eliminating uncertainty, serious non-linearity and external interference. It possesses good dynamic performance and strong robustness.
AB - This paper studies the applications of Adaptive Neuro-Fuzzy Inference Systems(ANFIS) in the Autonomous Underwater Vehicle(AUV) height control system. A control method of ANFIS is mentioned after absorbing the advantages of fuzzy logic and neural network. According to the data fedback by sensors, this method can get the needed fuzzy membership functions and fuzzy rules by self-study, which composes the control system containing better performance than single neuro network system or single fuzzy system. Use the designed AUV height controller to complete the simulation experiments when AUV receives different height instructions on seafloor. The simulation experiments show that the controller has obvious effect in eliminating uncertainty, serious non-linearity and external interference. It possesses good dynamic performance and strong robustness.
KW - Adaptive neuro-fuzzy inference systems
KW - Autonomous underwater vehicle
KW - Height control
UR - http://www.scopus.com/inward/record.url?scp=77955766575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955766575&partnerID=8YFLogxK
U2 - 10.1109/ICINFA.2010.5512245
DO - 10.1109/ICINFA.2010.5512245
M3 - Conference contribution
AN - SCOPUS:77955766575
SN - 9781424457021
T3 - 2010 IEEE International Conference on Information and Automation, ICIA 2010
SP - 1646
EP - 1651
BT - 2010 IEEE International Conference on Information and Automation, ICIA 2010
T2 - 2010 IEEE International Conference on Information and Automation, ICIA 2010
Y2 - 20 June 2010 through 23 June 2010
ER -