Title :
Synthesis of the position controller for the pneumatic actuator
Author :
Markov, Nikolay A. ; Shipitko, Ilya A. ; Bezruchko, Taras V.
Author_Institution :
Far Eastern Nat. Tech. Univ., Vladivostok
Abstract :
This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.
Keywords :
control system synthesis; neurocontrollers; nonlinear control systems; pneumatic actuators; position control; predictive control; air compression; complex nonlinear object; friction; neural network; pneumatic actuator; pneumatic cylinder; position controller synthesis; predictive control; Artificial neural networks; Communication system control; Control system synthesis; Difference equations; Friction; Neural networks; Pneumatic actuators; Predictive control; Predictive models; Three-term control; Neural network; pneumatic actuator; predictive control;
Conference_Titel :
Control and Communications, 2009. SIBCON 2009. International Siberian Conference on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4244-2007-0
DOI :
10.1109/SIBCON.2009.5044839
