Earticle

초록

영어

Model predictive control is the family of controllers, makes the explicit use of model to obtain control signal. The reason for its popularity in industry and academia is its capability of operating without expert intervention for long periods. There are various control design methods based on model predictive control concepts. This paper provides review of the most commonly used methods that have been embedded in an industrial model predictive control. The most widely used strategies as Dynamic matrix control (DMC), Model algorithmic control (MAC), Predictive functional control (PFC), Extended prediction self-adaptive control (EPSAC), Extended horizon adaptive control(EHAC) and Generalized predictive control(GPC) have been described with history, basic idea, properties, and their controller formulation.

목차

Abstract
 1. Introduction
 2. Historical Background
 3. Review of MPC methods
  3.1 Dynamic matrix control
  3.2 Model Algorithmic Control
  3.3 Predictive Functional Control
  3.4 Extended Prediction Self-Adaptive Control
  3.5 Extended Horizon Adaptive Control
  3.6 Generalized Predictive Control
 4. Conclusion
 References

키워드

저자

• K. S. Holkar [ K. K. Wagh Institute of Engineering Education and Research, Nashik, M. S, India ]
• L. M. Waghmare [ S. G. G. S Institute of Engineering and Technology, Nanded, M.S, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605