國立高雄大學圖資館 |

Language: English

Back

MPC-based reference governorstheory ...

Klauco, Martin.

MPC-based reference governorstheory and case studies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	MPC-based reference governorsby Martin Klauco, Michal Kvasnica.
Reminder of title:	theory and case studies /
remainder title:	Model prredictive control based reference governors
Author:	Klauco, Martin.
other author:	Kvasnica, Michal.
Published:	Cham :Springer International Publishing :2019.
Description:	xxiii, 137 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Predictive control.
Online resource:	https://doi.org/10.1007/978-3-030-17405-7
ISBN:	9783030174057$q(electronic bk.)

MPC-based reference governorstheory and case studies /
Klauco, Martin.

MPC-based reference governorstheory and case studies /[electronic resource] :Model prredictive control based reference governorsby Martin Klauco, Michal Kvasnica. - Cham :Springer International Publishing :2019. - xxiii, 137 p. :ill., digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

Reference Governors -- Part I: Theory -- Mathematical Preliminaries and General Optimization -- Model Predictive Control -- Inner Loops with PID Controllers -- Inner Loops with Relay-Based Controllers -- Inner Loops with LQ Controllers -- Inner Loops with Model Predictive Controllers -- Part II: Case Studies -- Boiler-Turbine System -- Magnetic-Levitation Process -- Thermostatically Controlled Indoor Temperature -- Cascade Model Predictive Control of Chemical Reactors -- Conclusions and Future Work.

This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: PID lower-level controllers; linear quadratic regulators; relay-based controllers; and cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four applications are discussed in depth: control of a power generation unit; temperature control in buildings; stabilization of objects in a magnetic field; and vehicle convoy control. Each chapter includes precise mathematical formulations of the corresponding MPC-based governor, reformulation of the control problem into an optimization problem, and a detailed presentation and comparison of results. The case studies and practical considerations of constraints will help control engineers working in various industries in the use of MPC at the supervisory level. The detailed mathematical treatments will attract the attention of academic researchers interested in the applications of MPC.

ISBN: 9783030174057$q(electronic bk.)

Standard No.: 10.1007/978-3-030-17405-7doiSubjects--Topical Terms:

182316
Predictive control.

LC Class. No.: TJ217.6 / .K538 2019

Dewey Class. No.: 629.8

MPC-based reference governorstheory and case studies /
LDR:03512nmm a2200349 a 4500 001 558944
003 DE-He213
005 20191029131457.0
006 m d
007 cr nn 008maaau
008 191219s2019 gw s 0 eng d
020 $a 9783030174057$q(electronic bk.)
020 $a 9783030174040$q(paper)
024 7 $a 10.1007/978-3-030-17405-7 $2 doi
035 $a 978-3-030-17405-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ217.6 $b .K538 2019
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
090 $a TJ217.6 $b .K63 2019
100 1 $a Klauco, Martin. $3 841779
245 1 0 $a MPC-based reference governors $h [electronic resource] : $b theory and case studies / $c by Martin Klauco, Michal Kvasnica.
246 3 0 $a Model prredictive control based reference governors
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxiii, 137 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 1430-9491
505 0 $a Reference Governors -- Part I: Theory -- Mathematical Preliminaries and General Optimization -- Model Predictive Control -- Inner Loops with PID Controllers -- Inner Loops with Relay-Based Controllers -- Inner Loops with LQ Controllers -- Inner Loops with Model Predictive Controllers -- Part II: Case Studies -- Boiler-Turbine System -- Magnetic-Levitation Process -- Thermostatically Controlled Indoor Temperature -- Cascade Model Predictive Control of Chemical Reactors -- Conclusions and Future Work.
520 $a This monograph focuses on the design of optimal reference governors using model predictive control (MPC) strategies. These MPC-based governors serve as a supervisory control layer that generates optimal trajectories for lower-level controllers such that the safety of the system is enforced while optimizing the overall performance of the closed-loop system. The first part of the monograph introduces the concept of optimization-based reference governors, provides an overview of the fundamentals of convex optimization and MPC, and discusses a rigorous design procedure for MPC-based reference governors. The design procedure depends on the type of lower-level controller involved and four practical cases are covered: PID lower-level controllers; linear quadratic regulators; relay-based controllers; and cases where the lower-level controllers are themselves model predictive controllers. For each case the authors provide a thorough theoretical derivation of the corresponding reference governor, followed by illustrative examples. The second part of the book is devoted to practical aspects of MPC-based reference governor schemes. Experimental and simulation case studies from four applications are discussed in depth: control of a power generation unit; temperature control in buildings; stabilization of objects in a magnetic field; and vehicle convoy control. Each chapter includes precise mathematical formulations of the corresponding MPC-based governor, reformulation of the control problem into an optimization problem, and a detailed presentation and comparison of results. The case studies and practical considerations of constraints will help control engineers working in various industries in the use of MPC at the supervisory level. The detailed mathematical treatments will attract the attention of academic researchers interested in the applications of MPC.
650 0 $a Predictive control. $3 182316
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Industrial Chemistry/Chemical Engineering. $3 273974
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 833130
650 2 4 $a Automotive Engineering. $3 308930
700 1 $a Kvasnica, Michal. $3 841780
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in industrial control. $3 558134
856 4 0 $u https://doi.org/10.1007/978-3-030-17405-7
950 $a Intelligent Technologies and Robotics (Springer-42732)