INFINITE HORIZON ECONOMIC MODEL PREDICTIVE CONTROL OPTIMIZATION ALGORITHM FOR CONTINUOUS STIRRED TANK REACTOR BASED ON TERMINAL COST FUNCTION
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Graphical Abstract
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Abstract
For continuous stirred tank reactor, an infinite horizon economic model predictive control optimization algorithm based on invariant set and terminal cost function is designed. The dynamic index was introduced into the economic index, and quadratic composite performance index was constructed based on optimal dynamic performance weighting coefficients. The terminal constraint set and terminal cost function were calculated offline using the invariant set technology. The infinite horizon performance index was constructed by combining the terminal cost function and quadratic performance index. The composite performance index in the finite horizon was appended with a terminal cost function to construct the infinite horizon performance index, and the infinite horizon optimization control of continuous stirred tank reactor was carried out and better economic performance was achieved. The effectiveness of the designed algorithm was verified by simulation
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