Adaptive PID controller based on model predictive control

Ahmed A. Abdelrauf, M. Abdel-Geliel, E. Zakzouk

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)


Model Predictive Control (MPC) is very suitable controller for many industrial applications especially for constrained systems. However, it requires high computation burden. On the other side, PID controller is simple and popular for industrial applications in particular for Single Input Single Output (SISO) systems but it is difficult to be tuned especially for constrained systems. To gain the benefits of the two controllers and reduce their limitations, a hierarchical control structure (two levels) is proposed. The algorithm concept focuses on the adaptation of PID controller parameters (lower level) according to the MPC performance (higher level). The algorithm is tested on two constrained systems; separately excited DC motor as a SISO system and three tank system as Multi Input Multi Output (MIMO) benchmark system.

Original languageEnglish
Title of host publication2016 European Control Conference, ECC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509025916
Publication statusPublished - 6 Jan 2017
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016

Publication series

Name2016 European Control Conference, ECC 2016


Conference2016 European Control Conference, ECC 2016

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization


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