Title :
Study on Servo Control Strategy for Pneumatic Manipulator
Author_Institution :
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
The traditional PID controller and the structure of the Neural Net model adaptive controller are discussed in this paper, and the infection of the parameter to the system performance is the emphasis. The step response of the system and wave symbol is gained. Corresponding control strategy is presented for the pneumatic position control system. Based on this model, compute digital simulation is completed. The research of simulations shows that the control strategy presented can improve the static and dynamic behavior of the system effectively.
Keywords :
adaptive control; manipulators; neurocontrollers; pneumatic control equipment; position control; servomechanisms; three-term control; PID controller; digital simulation; neural net model adaptive controller; pneumatic manipulator; pneumatic position control system; servo control strategy; Adaptive control; Computational modeling; Control systems; Digital simulation; Neural networks; Position control; Programmable control; Servosystems; System performance; Three-term control; Adaptive Control; Manipulator; Neural Net;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.259
