acceleration_constraint(u): 定义了加速度的约束条件,限制加速度在[-2, 2] m/s²之间,模拟了实际车辆中油门和刹车的物理限制。 mpc_controller(v0, target_speed, N, dt): 这是MPC控制器,预测未来N个时间步内的加速度,并返回最优的第一个时间步的控制输入。minimize的使用可以参考:minimize 使用 simulate...
Model predictive control (MPC) technology for advanced process control (APC) in industrial applications: blending, kilns, boilers, distillation columns
ModelPredictiveController[sspec, cost, cons] 计算系统规范为 sspec 的模型预测控制器,可最小化成本函数 cost 并满足约束条件 cons. ModelPredictiveController[..., " prop"] 返回属性 " prop" 的值.
1. Set invariance in control. Automatica, 1999 2. Constrained model predictive control: Stability and optimality. Automatica, 2ooo 鲁棒性 目的: 保证递归可行性(考虑模型误差、扰动) 保证渐近稳定性(在没有扰动的情况下) 需要知道: 模型不确定性的形式 扰动的形式 不确定性模型 线性参数变化模型 多胞不确...
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 Learn how to deal with changing plant dynamics using adaptive MPC. This video us...
Despite many challenges in applying model predictive control (MPC) to a process control problem, it is worth the effort. Performance of this technology can be significantly better than more familiar control methods. Consequently, its use is becoming more important in achieving plants' produc-tion-...
MPC can also handle constraints. Constraints are important, as violating them may lead to undesired consequences. MPC has preview capabilities (similar to feed-forward control). If set point changes are known in advance, the controller can better react to those changes and improve its p...
1、设讣和仿真模型预测控制器model predictive control toolbox提供了 matlab函数、图形用户界而和simulink模块用于设 计和仿真模型预测控制器。模型预估计控制器(model predictive controller)可以帮助工程师优化服从 输入输出约束的多输入、多输出控制系统的性能。为了预测输入量变化对输出的影响,工具箱使用-个内置的对象...
Model Predictive Control Toolbox™ provides functions, an app, Simulink®blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can imp...
can also convert the unconstrained controller to an LTI system object usingss,zpk, ortf. For related examples, seeReview Model Predictive Controller for Stability and Robustness Issues,Test MPC Controller Robustness Using MPC Designer,Compute Steady-State Output Sensitivity Gain, andExtract Controller. ...