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Model Predictive Controller for Position Control of Twin Rotor MIMO System

机译:用于双转子MIMO系统位置控制的模型预测控制器

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Twin Rotor Multi-Input Multi-Output System (TRMS) is a highly non-linear 2-DOF helicopter model. It consists of two rotors, vertical and horizontal, whose positions need to be controlled with the help of suitable controller. Due to its non-linear characteristics, it is quite challenging to design a traditional controller for this system. The design objectives of the controller are to stabilize the positions of both the rotors of TRMS in presence of cross coupling between the two rotors and reach the desired Pitch and Yawangles. Model predictive control (MPC) can be suitably used in such multivariable systems with significant constraint handling. In this paper, model predictive control (MPC) is used for the regulation of Pitch (vertical angle) and Yaw (horizontal angle). The controller is implemented on the linearized model of TRMS. The code is generated based on the model, controller and optimisation equations. The weight matrices, control horizon, output horizon, reference and the matrices generated from MATLAB coding are used as input to the MATLAB Simulation as well as to the real-time Simulation. The results obtained from m-file, Simulation and the Real-time for various references are also included in this paper.
机译:双转子多输入多输出系统(TRMS)是一个高度非线性的2-DOF直升机模型。它由两个转子,垂直和水平组成,其位置需要在合适的控制器的帮助下控制。由于其非线性特性,为该系统设计传统控制器是非常具有挑战性的。控制器的设计目标是在两个转子之间的交叉耦合存在下稳定TRMS转子的位置,并达到所需的间距和牵引。模型预测控制(MPC)可以适用于具有显着约束处理的多变量系统中。在本文中,模型预测控制(MPC)用于调节间距(垂直角)和横摆(水平角)。控制器在TRMS的线性化模型上实现。基于模型,控制器和优化方程生成代码。权重矩阵,控制地平线,输出地平线,参考和从MATLAB编码产生的矩阵用作MATLAB仿真的输入以及实时仿真。本文还包括从M文件,模拟和各种参考的实时获得的结果。

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