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| Content Provider | IET Digital Library |
|---|---|
| Author | Rigatos, Gerasimos Zervos, Nikolaos Siano, Pierluigi Abbaszadeh, Masoud Wira, Patrice |
| Abstract | Control of hot-steel rolling mills aims at raising the levels of quality of the related industrial production and at minimising the cost of the electric energy consumed by such industrial units. This paper proposes a non-linear optimal control approach for the hot-steel rolling mill system. The non-linear dynamic model of the hot-steel rolling mill undergoes approximate linearisation around a temporary operating point which is recomputed at each iteration of the control method. The linearisation relies on Taylor series expansion and on the calculation of the system's Jacobian matrices. For the approximately linearised model of the hot-steel rolling process, an H-infinity feedback controller is designed. This controller provides the solution of the non-linear optimal control problem for the system under model uncertainty and external perturbations. For the computation of the controller's feedback gain, an algebraic Riccati equation is iteratively solved at each time-step of the control method. The global asymptotic stability properties of the control method are proven through Lyapunov analysis. Finally, to implement state estimation-based control for this system, the H-infinity Kalman filter is proposed as a robust state estimator. |
| Starting Page | 97 |
| Ending Page | 107 |
| Page Count | 11 |
| Volume Number | 1 |
| e-ISSN | 25168398 |
| Issue Number | Issue 3, Sep (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cim/1/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cim.2019.0010 |
| Journal | IET Collaborative Intelligent Manufacturing |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-08-05 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) |
| Subject Keyword | Algebraic Riccati Equation Asymptotic Stability Control Application in Metallurgical Industries Control Method Control System Analysis Control System Synthesis Control Technology And Theory Feedback Global Asymptotic Stability Property H-infinity Feedback Controller H-infinity Kalman Filter Hot-steel Rolling Mill System Hot-steel Rolling Process Jacobian Matrix Kalman Filter Linear Algebra Linearisation Technique Lyapunov Analysis Lyapunov Method Manufacturing Facilities Metallurgical Industries Metallurgy Nonlinear Control System Nonlinear Dynamic Model Nonlinear Dynamical System Nonlinear Optimal Control Approach Nonlinear Optimal Control Problem Numerical Analysis Optimal Control Riccati Equation Robust Control Rolling Mills Signal Processing Theory Stability Stability in Control Theory State Estimation State Estimation-based Control Synthesis Method |
| Content Type | Text |
| Resource Type | Article |
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