RETRACTED ARTICLE: Enhancing the quadratic problem solver in the pilot scale distillation control systems using different optimization methods

Abstract

Industrial control system (ICS) encompasses the several types of the control systems which is placed in the various applications like industrial production, distributed control systems, small control configuration system and so on. The ICS developing process the model predictive controller (MPC) is utilized because of the easy concepts and controller tuning package. At the time of ICS implementation process, it consists of computing power problem which leads to reduce the entire ICS power. To reduce the problem present in the MPC, it has been optimized by utilizing MPC and the quadratic problem is overcome by applying the several quadric methods such as, sequential quadratic programming, barrier function and iterative interior point quadratic optimization are used. From the optimized controller system, the pilot scale distillation control system is developed and the performance of the proposed system is developed using state space model which is analyzed in terms of the error metrics and mean cost metrics.