Nonlinear Model Predictive Control

Magnetic bearing systems have received much attention in the research community for the past decades. Its inherent nonlinearity and open-loop instability present challenges for controller design. This thesis investigates and designs model predictive control (MPC) systems for an experimental Active Magnetic Bearing (AMB) laboratory system. A host-target development environment of real-time control system with hardware in the loop (HIL) is used for implementation of the predictive control systems. In this thesis, both continuous and discrete time model predictive controllers are studied.

172p runthenight05 01-03-2023 9 3   Download

Model Predictive Control (MPC) refers to a class of algorithms that optimize the future behavior of the plant subject to operational constraints. The merits of the class algorithms include its ability to handle imposed hard constraints on the system and perform on-line optimization. This thesis investigates design and implementation of continuous time model predictive control using Laguerre polynomials and extends the design approaches proposed in to include intermittent predictive control, as well as to include the case of the nonlinear predictive control.

162p runthenight07 01-03-2023 9 4   Download

Bài viết "Theo dõi quỹ đạo Quadrotor sử dụng Linear và Nonlinear Model Predictive Control" trình bày chi tiết hai nền tảng điều khiển dựa trên mô hình hiện đại nhất cho bám quỹ đạo: linearmodel-predictive controller (LMPC) và nonlinear-modelpredictive controller (NMPC). Bên cạnh đó, các mô hình động học, động lực học của quadrotor được mô tả đầy đủ. Cuối cùng, hệ mô phỏng được triển khai và kiểm nghiệm tính khả thi, cho thấy sự hiệu quả của hai bộ điều khiển.

6p lieuyeuyeu18 23-12-2022 34 3   Download

The aim of the dissertation is study and propose a new algorithm for solving the optimal problem in nonlinear model predictive control MIMO system.

28p change01 05-05-2016 34 3   Download