Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC
In order to solve the problems of generalized demand and parameter configuration in the engineering application of two-layer predictive control, a series of linear programming (LP) or quadratic programming (QP) problems are formed by studying the standardization process of the two-stage solution str...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.500 |
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| Summary: | In order to solve the problems of generalized demand and parameter configuration in the engineering application of two-layer predictive control, a series of linear programming (LP) or quadratic programming (QP) problems are formed by studying the standardization process of the two-stage solution strategy in the steady-state optimization layer. It proposed a solution strategy of the objective function including absolute value and numerical truncation error, and analyzed the characteristics of solutions from the geometric and algebraic relations aiming at the problems of LP and QP. Simulation results prove that QP had better continuity than LP when the weight coefficient of decision variables are changed, and the weight coefficient of QP can more accurately adjust the bias of decision variables. The change of feasible region boundary results in the solution change of LP while the solution of QP which has been in the constraint space does not change with time. |
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| ISSN: | 2096-5427 |