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| Prediction method for energy consumption per ton of fused magnesium furnaces using data driven and mechanism model |
| DanGUO,ZhiweiWU,TianyouCHAI,JieYANG,JinliangDING |
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| (State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Liaoning Shenyang 110819, China) |
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| DOI：https://doi.org/10.1007/s11768-019-8191-9 |
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| Prediction method for energy consumption per ton of fused magnesium furnaces using data driven and mechanism model |
| Dan GUO,Zhiwei WU,Tianyou CHAI,Jie YANG,Jinliang DING |
| (State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Liaoning Shenyang 110819, China;State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang Liaoning 110819, China; National Engineering Research Center of Metallurgical Automation (Shenyang), Shenyang Liaoning 110819, China) |
| Abstract: |
| This paper gives an overview of early development of nonlinear disturbance observer design technique and the disturbance
observer based control (DOBC) design. Some critical points raised in the development of the methods have been reviewed and
discussed which are still relevant for many researchers or practitioners who are interested in this method. The review is followed
by the development of a new type of nonlinear PID controller for a robotic manipulator and its experimental tests. It is shown that,
under a number of assumptions, the DOBC consisting of a predictive control method and a nonlinear disturbance observer could
reduce to a nonlinear PID with special features. Experimental results show that, compared with the predictive control method,
the developed controller significantly improves performance robustness against uncertainty and friction. This paper may trigger
further research and interests in the development of DOBC and related methods, and building up more understanding between
this group of control methods with comparable ones (particularly control methods with integral action). |
| Key words: Disturbance observer, nonlinear control, PID controller, disturbance observer based control |
