Improved control of pneumatic lumber handling systems

Though pneumatic systems are used for many applications, the control of such systems present major challenge because of nonlinearity caused by friction and the nonlinear volume-pressure relation in pneumatics. This paper presents the results on modeling, estimation and control of a heavy industrial pneumatic log handling machine. It is shown that a modified self-tuning generalized predictive control can achieve much improved performance over other control schemes