PI Adaptive Neuro-Fuzzy and Receding Horizon Position Control for Intelligent Pneumatic Actuator
DOI:
https://doi.org/10.11113/jt.v67.2759Keywords:
Intelligent pneumatic actuator, position control, neuro-fuzzy, receding horizon controlAbstract
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.
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