Performance Evaluation of PID, LQR and MPC for DC Motor Speed Control

被引：0

作者：

Dani, Siddhesh ^{[1
]}

Sonawane, Dayaram ^{[1
]}

Ingole, Deepak ^{[2
]}

Patil, Sanjaykumar ^{[1
]}

机构：

[1] Coll Engn Pune COEP, Dept Instrumentat & Control Engn, Pune, Maharashtra, India

[2] Slovak Univ Technol Bratislava, Bratislava, Slovakia

来源：

2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2017年

关键词：

OPTIMIZATION;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Electrical drives play an important role in the implementation of tasks for increasing productivity in various industries, for automation and complex mechanization of production processes. In this paper three strategies; a classical Proportional-Integral-Derivative (PID), a Linear Quadratic Regulator (LQR) and a Model Predictive Control (MPC) are designed and implemented for the DC motor speed control. All these strategies are compared on the basis of output response, steady state error, controller efforts, and constraints handling for the reference tracking Performed simulations shows that though the controller efforts are less in PID and LQR but MPC outperforms for reference tracking and constraints handling.

引用

页码：348 / 354

页数：7

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