Model reference adaptive PID control of hydraulic parallel robot based on RBF neural network

2007 IEEE International Conference on Robotics and Biomimetics, ROBIO

Volumn , Issue , 2007, Pages 1383-1387

  Pei, Zhongcai ^a   Zhang, Yanfang ^a   Tang, Zhiyong ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Hydraulic actuator; Model reference adaptive PID control; Parallel robot; RBF neural network

Indexed keywords

AUTOMATION; BIOMIMETICS; CONTROL THEORY; ELASTIC MODULI; FEEDFORWARD NEURAL NETWORKS; FLUID MECHANICS; HYDRAULICS; IMAGE CLASSIFICATION; NEURAL NETWORKS; PROPORTIONAL CONTROL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; ROBOTICS; ROBOTS; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); TELECOMMUNICATION NETWORKS; THREE TERM CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

CONTROL PERFORMANCES; CONTROL STRATEGIES; HYDRAULIC ACTUATOR; HYDRAULIC ACTUATORS; HYDRAULIC SERVO SYSTEMS; INTERNATIONAL CONFERENCES; MODEL REFERENCE ADAPTIVE; MODEL REFERENCE ADAPTIVE CONTROL; MODEL REFERENCE ADAPTIVE PID CONTROL; P-I-D CONTROL; PARALLEL ROBOT; PARALLEL ROBOTS; PID PARAMETERS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SIMULATION RESULTS; TRACKING PERFORMANCES;

ADAPTIVE CONTROL SYSTEMS;

EID: 49249116963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2007.4522366     Document Type: Conference Paper

References (9)

1. D. Stewart, "A platform with six degree of freedom," Proceedings of the Institutions of Mechanical Engineers, vol. 180, no. 15, pp. 371-386, 1965.
2. T. Chen and H. Chen, "Approximation capability to functions of several variables, nonlinear functions, and operators by radial basis function neural networks," IEEE Trans. on Neural Networks, vol. 6, no. 4, pp.904-910, July 1995.
3. W. Qiu, et al, "Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potential," IEEE Transactions on Biomedical Engineering, vol. 53, no. 2, pp. 226-237, February 2006.
4. T. Shi, C. xia, M. Wang and Q. Zhang, "Single Neural PID Control for Sensorless Switched Reluctance Motor Based on RBF Neural Network," Proceedings of the 6th World Congress on Intelligent Control and Automation, vol. 2, pp. 8069-8073, June 2006.
5. M.-J. Lee and Y.-K. Choi , "An adaptive control method for robot manipulators using radial basis function networks," IEEE International Symposium on Industrial Electronics, vol. 3, pp. 1827-1832, June 2001.
6. M. R. Sirouspour and S.E. Salcudean, "Nonlinear Control of a Hydraulic Robots," IEEE Transactions on Robotics and Automation, vol. 17, no. 2, pp. 3760-3765, April 2001.
7. Karayiannis, N.B. and Randolph-Gips, M.M., "On the Construction and Training of Reformulated Radial Basis Function Neural Networks," IEEE Transactions on Neural Networks, vol. 14, pp. 835-846, July 2003.
8. Y.-J. Zhang , H.-R. Li. "Study on control strategy for a valve controlling asymmetric Electro-hydraulic servo system," China Mechanical Engineering, vol. 10, no. 10, pp. 1172-1175, Oct. 1999.
9. J.-K. Liu. "Advanced PID Control Simulation," Beijing: Publishing House of Electronics Industry, 2004, pp. 170-183.