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| A Predictive Control Algorithm Based on Trapezoid Interval Soft Constraint and Multi-objective Optimization |
| LIU Bin1,GU Xin-feng1,SUN Chao1,ZHANG Chun-ran1,LIU Hao-ran2 |
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Abstract Based on triangle interval soft constraint, a trapezoid interval soft constraint and multi-objective optimization algorithm was presented.The algorithm set up a trapezoidal interval outside the tolerance interval, and the control process is divided into two parts to reduce the effects of the initial transient deviation on the system. In order to alleviate the control target of mutual coupling problems in the industrial process, two objective functions were constructed, and the coordination control of MIMO system was achieved by the method of ε -constraint which is improved with iterative algorithm, and then solving the objective function, to reduce the errors of the objective function and realize the coordination control for MIMO systems. Finally, the simulation has been done with the heavy oil fractionator model of Shell company, predictive control algorithm based on triangle interval soft constrain compared with this algorithm, the rusult show that the proposed algorithm has better optimization.
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Received: 28 November 2016
Published: 06 July 2018
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2018, Vol. 39 
