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Linear parameter varying model predictive control for engine assemblies

机译:发动机总成的线性参数变化模型预测控制

摘要

An LPV/MPC engine control system is disclosed that includes an engine control unit connected to multiple sensors. The engine control unit receives, from the sensors, signals indicative of desired engine torque and engine torque output, and determines, from these signals, optimal engine control commands using a piecewise LPV/MPC routine. This routine includes: determining a nonlinear and a linear system model for the engine assembly, minimizing a control cost function in a receding horizon for the linear system model, determining system responses for the nonlinear and linear system models, determining if a norm of an error function between the system responses is smaller than a calibrated threshold, and if the norm is smaller than the predetermined threshold, applying the linearized system model in a next sampling time for a next receding horizon to determine the optimal control command. Once determined, the optimal control command is output to the engine assembly.
机译:公开了一种LPV / MPC发动机控制系统,其包括连接至多个传感器的发动机控制单元。发动机控制单元从传感器接收指示期望的发动机扭矩和发动机扭矩输出的信号,并使用分段LPV / MPC例程从这些信号中确定最佳发动机控制命令。该例程包括:确定发动机总成的非线性和线性系统模型,使线性系统模型的后退地平线中的控制成本函数最小化,确定非线性和线性系统模型的系统响应,确定是否存在误差范数系统响应之间的函数小于标定阈值,并且如果范数小于预定阈值,则在下一采样时间为下一后退范围应用线性化系统模型,以确定最佳控制命令。一旦确定,最佳控制命令就输出到发动机总成。

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