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| Multi-objective Optimization Control of Smith-Predictor Parameters in Superheated Steam Temperature System |
| LIU Chang-Liang, MA Zeng-Hui |
| State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206 |
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Abstract The impact of Smith-predictor parameters on the control system performance is analyzed detailedly, and a multi-objective optimization control scheme of Smith-predictor parameters is proposed. The performance of the control system is improved by the model mismatch. Due to high order,large inertia and strong nonlinearity of the superheated steam temperature plant, a Smith-predictor parameter multi-objective self-tuning optimization control system is designed based on cascade PID. The control scheme is applied to a 600MW supercritical boiler superheated steam temperature control. The simulation results show that the proposed approach has a good robustness and can effectively overcome the long dead time and nonlinearity of the system, and it has much better performance compared with cascade PID and normal Smith predictor.
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Received: 13 January 2014
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2015, Vol. 28 
