PI Adaptive Neuro-Fuzzy and Receding Horizon Position Control for Intelligent Pneumatic Actuator

Pneumatic systems are widely used in automation industries and in the field of automatic control. intelligent pneumatic actuators (ipa) is a new generation of actuators designed and developed for research and development (r&d) purposes. this work proposes two control approaches, proportional integral adaptive neuro-fuzzy (pi-anfis) controller and receding horizon controller (rhc), for ipa position control. the design steps of the controllers are presented. matlab/simulink is used as a tool to implement the controllers. the design is based on a position identification model of the ipa. the simulation results are analyzed and compared with previous work on the ipa to illustrate the performance of the proposed controllers. the comparison shows a significant improvement in ipa position control after using the new controllers.