A model predictive controller uses linear plant, disturbance, and noise models to estimate the controller state and predict future plant outputs. Using the predicted plant outputs, the controller solves a quadratic programming optimization problem to determine control moves. For more information on the ...
Create MPC object— After specifying the signal types in the plant object, you create anmpcobject in the MATLAB®workspace (or in theMPC Designer), and specify, in the object, controller parameters such as the sample time, prediction and control horizons, cost function weights, constraints, ...
Compare response plots for multiple model predictive controllers Generate Simulink models with an MPC controller and plant model Generate MATLAB scripts to automate MPC controller design and simulation tasks More Open the MPC Designer App MATLAB Toolstrip: On theAppstab, underControl System Design and ...
How to Design an MPC Controller with Simulink and Model Predictive Control Toolbox Learn how to design an MPC controller for an autonomous vehicle steering system using Model Predictive Control Toolbox. 8:20Video length is 8:20 Adaptive MPC Design with Simulink and Model Predictive Control Toolbox...
Control Horizon: 3 Plant Model: --- 1 manipulated variable(s) -->| 5 states | | |--> 1 measured output(s) 1 measured disturbance(s) -->| 3 inputs | | |--> 0 unmeasured output(s) 1 unmeasured disturbance(s) -->| 1 outputs | --- Indices: (...
Explicit model predictive control uses offline computations to determine all operating regions in which the optimal control moves are determined by evaluating a linear function.
「住友重機械工業は、ショベルの動的性能を損なうことなく、燃料消費量を 15% 削減することに成功しました。Model Predictive Control Toolbox の使用と制御設計の改善により、エンジン回転数の変動を 50% 低減できたことも、効率向上の一因となっています。
From the series: Understanding Model Predictive Control Melda Ulusoy, MathWorks This video starts by providing quick tips for implementing MPC for fast applications. To reduce the complexity of MPC calculations, you can try to use model order reduction techniques, use shorter prediction an...
模型预测控制是一种基于模型的闭环优化控制策略。 预测控制算法的三要素:内部(预测)模型、参考轨迹、控制算法。现在一般则更清楚地表述为内部(预测)模型、滚动优化、反馈控制。 大量的预测控制权威性文献都无一例外地指出, 预测控制最大的吸引力在于它具有显式处理约束的能力, 这种能力来自其基于模型对系统未来动态行为...
参考书籍:Model Predictive Control System Design and Implementation Using MATLAB® by Liuping Wang (auth.) (z-lib.org) 已知状态空间方程: [x(k+1)=0.8x(k)+0.1u(k)y(k)=x(k)] 控制目标:y(k)→1 step1:构建扩张状态方程 [xe(k+1)=Aexe(k)+BeΔu(k)ye(k)=Cexe(k)] ...