یازدهمین کنگره ملی سراسری فناوریهای نوین در حوزه توسعه پایدار ایران (نمایه ISC)
تاریخ برگزاری : 15 اسفند ماه 1400
Design and Analysis of Explicit Predictive Model Control to Reduce the Number of Convex Areas based on Parametric Optimization using Multi-Parameter Toolbox
سارا محمودی رشید
In this paper, one of the challenges of predicting control based on the model is the implementation of explicit predicting model control (EMPC) method in real time that EMPC provides an explicit and real time algorithm to predicting designed for implement explicit processes. When the predictive control is designed, the resulting cost function is minimized. This cost function is a quadratic programming (QP) problem that has several forms. The general structure is that the cost function should be solved in relation to the optimization variable which is the control input and minimize the optimal control signal of the cost function which is conditional on the initial state and system model. In this case, a convergent and optimal answer is obtained, in which case the control input implicitly depends on the mode, i.e. the effect of the mode on the control input is undeniable, but it can’t be explicitly stated. The greater the number of system constraints, the longer the optimization problem will be solved, and if it varies over time, the execution speed may be high or low. Therefore, numerical solution can’t be a real time method, i.e. it varies with the time of the solution, this optimization problem is difficult to converge and optimize the answer. As a result, the complexity of the problem and the slowness of the solution are two problems that are encountered in online problem solving. Especially to apply to explicit processes where control signals must be updated at all times. These two factors gave rise to the EMPC, the practice of having system responses calculated offline in advance. According to the independent variables that exist, a space is created that EMPC converts this space into convex regions and solves a Multi Parametric Toolbox (MPT) programming problem for each region and takes controllers and reduces the number of convex areas.
Explicit Model Predictive Controller, Parametric Optimization, Convex Areas, Multi-Parameter Toolbox
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, 1400 , Design and Analysis of Explicit Predictive Model Control to Reduce the Number of Convex Areas based on Parametric Optimization using Multi-Parameter Toolbox , یازدهمین کنگره ملی سراسری فناوریهای نوین در حوزه توسعه پایدار ایران (نمایه ISC)
تاریخ برگزاری : 15 اسفند ماه 1400