Ball balancing system: an educational device for demonstrating optimal control

The basic ideas of feedback and control are not difficult to understand. However it is an interesting challenge to demonstrate control techniques in an entertaining and attractive way. The ball balancing device presented in this paper was developed to be used as a research and exhibition device. The solution of the control design problem is based on the physical model of the process and modern control theory. Linear quadratic regulator is used to control the process and Kalman filter is used to estimate the state of the ball. Machine vision is applied in the position measurement of the ball and linear servo motors are used as actuators.

[1]  Dieter Zöbel,et al.  A versatile real-time experiment: balancing a ball on a flat board , 1998 .

[2]  Ka Cheok,et al.  A ball balancing demonstration of optimal and disturbance-accomodating control , 1987, IEEE Control Systems Magazine.

[3]  R.M. Lee,et al.  Vision guided ball-beam balancing system using fuzzy logic , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

[4]  Yuhong Jiang,et al.  Application of neural networks for real time control of a ball-beam system , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[5]  Kevin C. Craig,et al.  Mechatronic design of a ball-on-plate balancing system , 2002 .

[6]  Mohan M. Trivedi,et al.  Neural integrated fuzzy controller (NiF-T) and real-time implementation of a ball balancing beam (BBB) , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[7]  C. N. Obiozor Feedback on a ball balancer , 1999, Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300).