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Nonlinear Optimal Generalized Predictive Functional Control of Piecewise Affine Systems

机译:分段仿射系统的非线性最优通用预测功能控制

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An algorithm for nonlinear optimal generalized predictive functional control is defined for controlling discrete-time piecewise affine systems. The main piecewise affine form is transferred into a corresponding state-dependent system form. The principal piecewise affine system's hybrid properties are retained, and both the continuous and switching dynamics are combined in the same system description. This method enables the use of nonlinear generalized predictive functional control for this hybrid system class. In the generalized predictive functional control method, different classical controller structures can be employed in the feedback loop, such as PI, PID or other classical transfer-function structures. The loop controller is defined here to have a PI structure, and its selected linear transfer-functions set is multiplied by gains that are found to minimize a GPC type of cost-index. The simulation results are shown using a model of a continuous stirred tank reactor.
机译:定义了一种用于控制离散时间分段仿射系统的非线性最佳广义预测功能控制算法。 主要分段仿射形式转移成相应的状态依赖性系统形式。 保留了主分段仿射系统的混合特性,并且连续和切换动态都在相同的系统描述中组合。 该方法使得能够对该混合系统类的非线性广义预测功能控制使用。 在广义预测功能控制方法中,可以在反馈回路中采用不同的经典控制器结构,例如PI,PID或其他经典传递函数结构。 在此定义回路控制器以具有PI结构,并且其所选的线性传送功能集乘以发现,以最小化GPC类型的成本索引。 使用连续搅拌釜反应器的模型示出了模拟结果。

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