Predictive control algorithms

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

The main focus of this thesis is on the application of a model predictive control (MPC) method to devise an ABS for a BBW vehicle. Unlike the traditional ABS control algorithms which are based on a trial and error method, the MPC based ABS algorithm aims to utilizes the behaviour of the model to optimize the wheel slip dynamics subject to system constraints. Performance of the proposed wheel slip controller is validated through Software-in-the-Loop (SiL) and Hardware-inthe-Loop (HiL) simulation.

136p runthenight07 01-03-2023 10 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 37 3   Download