Author/Authors :
Hikmat, Omer Faris Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Department of Control and Mechatronics Engineering, Malaysia , Faudzi, Ahmad Athif Mohd Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Department of Control and Mechatronics Engineering, Malaysia , Faudzi, Ahmad Athif Mohd Universiti Teknologi Malaysia - Centre for Artificial Intelligence and Robotics (CAIRO), Malaysia , Elnimair, Mohamed Omer Universiti Teknologi Malaysia - Faculty of Electrical Engineering - Department of Control and Mechatronics Engineering, Malaysia , Elnimair, Mohamed Omer Alhsour Mining, Sudan , Osman, Khairuddin Universiti Teknikal Malaysia Melaka - Faculty of Electronic and Computer Engineering - Department of Industrial Electronics, Malaysia , Osman, Khairuddin Universiti Teknikal Malaysia - Faculty of Electrical and Electronics - Department of Industrial Electronics, Malaysia
Abstract :
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.
Keywords :
Intelligent pneumatic actuator , position control , neuro , fuzzy , receding horizon control
