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CONSOLIDATION OF RESTRICTIONS IN MODEL-PREDICTIVE CONTROL

机译:预测控制中约束的合并

摘要

A method, a control system, and a drive system use model predictive control to control and track multiple parameters for improved performance of the drive system. Numerous sets of possible setpoints for a set of controlled variables are determined. Initial constraints are determined for the controlled variables that include upper and lower limits for each controlled variable and upper and lower rate limits for each controlled variable. Then, a set of consolidated constraints on the policy variables is determined. Each consolidated constraint limit is determined by consolidating one of the upper and lower bounds with one of the upper and lower rates of change limits. Costs are determined for each set of possible setpoints, and the set of possible setpoints that has the lowest cost and is within the set of consolidated bounds is selected for use in controlling the powertrain.
机译:一种方法,控制系统和驱动系统使用模型预测控制来控制和跟踪多个参数以改善驱动系统的性能。确定一组控制变量的许多可能的设定值。确定受控变量的初始约束,包括每个受控变量的上限和下限以及每个受控变量的速率上限和下限。然后,确定一组对策略变量的合并约束。每个合并的约束限制是通过将上限和下限之一与更改率上限和下限之一合并来确定的。为每组可能的设定点确定成本,并选择成本最低且在合并范围内的一组可能的设定点,以用于控制动力总成。

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