Emotional Learning Based Position Control of Pneumatic Actuators

This paper presents a new scheme for position tracking of pneumatic actuators. The controller is built upon the Brain Emotional Learning Based Intelligent Control (BELBIC) concept proposed by Caro Lucas [Lucas, C., Shahmirzadi, D., & Sheikholeslami, N. (2004). Introducing BELBIC: Brain emotional learning based intelligent controller. International Journal of Intelligent Automation and Soft Computing, 10, 11–21]. First the structure of BELBIC is analyzed to further understand its features. Next, different types of emotional signals, required by BELBIC, are experimentally evaluated to meet the challenges in position tracking of pneumatic actuators. The best performing BELBIC structure is then experimentally compared with a previously developed robust proportional integral controller. It is also successfully applied to a force reflecting tele-operated application of pneumatic actuator.

[1]  Jun Wu,et al.  Tracking control of pneumatic artificial muscle actuators based on sliding mode and non-linear disturbance observer , 2010 .

[2]  Jonqlan Lin,et al.  A Supervisory Control Methodology for a New Pneumatic Cart-Seesaw System , 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

[3]  Caro Lucas,et al.  Emotional Learning based Intelligent Robust Adaptive Controller for Stable Uncertain Nonlinear Systems , 2008 .

[4]  Patrick van der Smagt,et al.  Neural Network Control of a Pneumatic Robot Arm , 1994, IEEE Trans. Syst. Man Cybern. Syst..

[5]  Harald Aschemann,et al.  Sliding-Mode Control of a High-Speed Linear Axis Driven by Pneumatic Muscle Actuators , 2008, IEEE Transactions on Industrial Electronics.

[6]  Shu Ning,et al.  Experimental Comparison of Position Tracking Control Algorithms for Pneumatic Cylinder Actuators , 2007, IEEE/ASME Transactions on Mechatronics.

[7]  Babak Nadjar Araabi,et al.  Implementation of Emotional Controller for Interior Permanent Magnet Synchronous Motor Drive , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[8]  Somyot Kaitwanidvilai,et al.  Position control of a pneumatic servo system by genetic algorithm based fixed-structure robust H/sub /spl infin// loop shaping control , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[9]  Nariman Sepehri,et al.  Development and experimental evaluation of a fixed-gain nonlinear control for a low-cost pneumatic actuator , 2006 .

[10]  Caro Lucas,et al.  IMPLEMENTATION OF INTELLIGENT CONTROLLER BASED ON BRAIN EMOTIONAL LEARNING , 2005 .

[11]  Mahdi Tavakoli,et al.  Improved Tracking and Switching Performance of an Electro-Pneumatic Positioning System , 2012 .

[12]  Yildirim Hurmuzlu,et al.  A High Performance Pneumatic Force Actuator System: Part I—Nonlinear Mathematical Model , 2000 .

[13]  A. Afzali-Kusha,et al.  Power management by brain emotional learning algorithm , 2007, 2007 7th International Conference on ASIC.

[14]  R. Marumo,et al.  Intelligent modeling and control of a pneumatic motor , 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).

[15]  James E. Bobrow,et al.  An Analysis of a Pneumatic Servo System and Its Application to a Computer-Controlled Robot , 1988 .

[16]  Kanya Tanaka,et al.  Intelligent control for pneumatic servo system , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[17]  Zhi-cheng Qiu,et al.  Direct adaptive fuzzy control of a translating piezoelectric flexible manipulator driven by a pneumatic rodless cylinder , 2013 .

[18]  Caro Lucas,et al.  Introducing Belbic: Brain Emotional Learning Based Intelligent Controller , 2004, Intell. Autom. Soft Comput..

[19]  Babak Nadjar Araabi,et al.  Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger , 2007, Expert Syst. Appl..

[20]  Harold J. Schock,et al.  Adaptive Control of a Pneumatic Valve Actuator for an Internal Combustion Engine , 2011, IEEE Transactions on Control Systems Technology.

[21]  Kuo-Ming Chang,et al.  Observer-based Adaptive Sliding Mode Control for a Pneumatic Servo System , 2013, ICINCO.

[22]  Mozafar Saadat,et al.  A New Intelligent Approach to Patient-cooperative Control of Rehabilitation Robots , 2013 .

[23]  Song Jinchun,et al.  Intelligent predictive fuzzy control for pneumatic inverted pendulum , 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.