At any control execution of large scale Dynamic Matrix Control [DMC](TM), the process may require excessive input movements. This problem arises from the ill-conditioned internal models of the predictive controller. In this paper, a practical method of removing the ill-conditioning is developed by making the best use of the Singular value Analysis (SVA) and the characteristic of LP optimizer in DMC. The proposed method is applied to an industrial ammonia plant, where non-square (25 controlled - 12 manipulated variables) DMC controller is installed By redesigning some internal models which are indicated by the method the resulting controller can suppress the excessive input movements and improve the control performance.