R. Sritharan, M. Sivapalanirajan, M. Willjuiceiruthayarajan
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引用次数: 1
摘要
这个项目的目的是设计和比较各种控制器QNET (qanser NI ELVIS Trainer)旋转倒立摆(RIP)板2.0的NI ELVIS。RIP系统是一个具有高度非线性行为的多变量模式。它被用于设计高度复杂的应用,如飞机自动着陆系统,人形机器人稳定。本文利用欧拉-拉格朗日运动方程对RIP模型进行数学推导。为了控制系统,设计了PP(极点放置)控制器和LQR(线性二次型调节器)控制器,并在MATLAB中实现了摆臂上下位置的平衡。对比分析了两种控制器在稳定时间、超调范围等方面的性能。基于设计参数,利用MATLAB仿真,在LabVIEW平台上与NI ELVIS接口,实现了对旋转倒立臂的实时控制。从MATLAB仿真和labview接口的实验结果来看,LQR控制器在控制摆臂垂直位置方面优于PP控制器。
Mathematical Modeling and Control of QNET Rotary Inverted Pendulum in MATLAB and Real Time Implementation in Lab View Using ELVIS
The objective of this project is the design and comparison of the various controllers for QNET (Quanser NI ELVIS Trainer) Rotary Inverted Pendulum (RIP) Board 2.0 for NI ELVIS. The RIP system is a multivariable mode with highly nonlinear behavior. It is used in the design of highly complex applications like automatic aircraft landing system, and humanoid robot stabilization. In this work, the RIP model is mathematically derived using motion equation of Euler-Lagrange. For controlling the system, PP (pole placement) and LQR(Linear Quadratic Regulator) controllers are designed and implemented in MATLAB for the balancing of the pendulum arm in up-right position. A comparative study was made for analyzing the performance of the controllers in terms of settling time and overshoot range, etc. Based on designed parameters using MATLAB simulation, the control ofreal time Rotary inverted pendulum arm is implemented in LabVIEW platform interfaced with NI ELVIS. From the experimental results of MATLAB simulation and LabVIEWinterfacing, the LQR controller was better than the PP controller in controlling the pendulum arm in upright position.