Feedback linearization control of the looper system in hot strip mills

Hwang, I Cheol; Kim, Seong-Bae

doi:10.1007/bf02983590

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[19][20][21] Hwang and Kim proposed an ILQ controller on the basis of state feedback linearized model, high speed and high accuracy control loops are very effective in keeping both looper angle and strip tension within target values after the controller is applied in actual finishing mill control system. 22) In this paper, looper-gauge integrated control system is designed based on ILQ theory to realize the cooperative optimization control for strip tension, looper angle and strip gauge with better anti-interference ability and better dynamic control performance This paper is organized as follows: Section 2 gives a brief description of process model and its state space representation. In Section 3, the proposed control scheme based on ILQ theory is demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Looper-gauge Integrated Control in Hot Strip Finishing Mill Using Inverse Linear Quadratic Theory

Sun¹,

Hu²,

Yin

et al. 2019

ISIJ Int.

View full text Add to dashboard Cite

Hot strip rolling is a significant process in the fields of manufacturing and processing. In order to further improve the control accuracy of looper angle, strip tension and gauge in hot strip finishing mill, an innovative looper-gauge integrated control scheme is developed in this paper. Based on the inverse linear quadratic (ILQ) theory, a proposed control scheme is designed for the looper-gauge integrated system. First, considering the numerous interactions between looper angle, strip tension and gauge, and the disturbances from several sources, a dynamic 6th order state space model is established and validated. Then, the control scheme based on ILQ theory is imported into gauge-looper integrated system. The desired poles are placed according to the dynamic characteristics requirements. The state feedback optimal control law is determined by an improved ILQ design method. Then the multivariable looper-gauge integrated control system is constructed. The proposed control scheme has the explicit ability to achieve desired looper and gauge control performances, with less external disturbances and no sensitivity of strip dimension changing. The effectiveness of the proposed looper-gauge integrated control scheme compared with traditional control strategies is shown in the simulation results. The interactions between looper control and guage control are also minimized.

show abstract

Section: Introductionmentioning

confidence: 99%