A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain

The recently introduced continuous-time perfect control algorithm has revealed a great potential in terms of the maximum-speed and maximum-accuracy behaviors. However, the discussed inverse model-originated control strategy is associated with considerable energy consumption, which has exceeded a tec...

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Main Authors: Paweł Majewski, Wojciech P. Hunek, Dawid Pawuś, Krzysztof Szurpicki, Tomasz Wojtala
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/4/1947
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author Paweł Majewski
Wojciech P. Hunek
Dawid Pawuś
Krzysztof Szurpicki
Tomasz Wojtala
author_facet Paweł Majewski
Wojciech P. Hunek
Dawid Pawuś
Krzysztof Szurpicki
Tomasz Wojtala
author_sort Paweł Majewski
collection DOAJ
description The recently introduced continuous-time perfect control algorithm has revealed a great potential in terms of the maximum-speed and maximum-accuracy behaviors. However, the discussed inverse model-originated control strategy is associated with considerable energy consumption, which has exceeded a technological limitation in a number of industrial cases. In order to prevent such an important drawback, several solutions could be considered. Therefore, an innovative perfect control scheme devoted to the multivariable real-life objects is investigated in this paper. Henceforth, the new IMC-related approach, strongly supported by the vital sensor-aided system, can successfully be employed in every real-time engineering task, where the precision of conducted processes plays an important role. Theoretical and practical examples strictly confirm the big implementation potential of the new established method over existing ones. It has been seen that the new perfect control algorithm outperforms the classical control law in the form of LQR (considered in two separate ways), which is clearly manifested by almost all simulation examples. For instance, in the case of the multi-tank system, the performance indices ISE, RT, and MOE for LQR without an integration action have been equal to 2.431, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.4</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.655</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>6</mn></mrow></msup></mrow></semantics></math></inline-formula>, respectively, whilst the respective values 1.638, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.58</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.514</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></semantics></math></inline-formula> have been received for the proposed approach.
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spelling doaj.art-e5e5c7d712eb4045b03f525e588db9e82023-11-16T23:08:17ZengMDPI AGSensors1424-82202023-02-01234194710.3390/s23041947A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time DomainPaweł Majewski0Wojciech P. Hunek1Dawid Pawuś2Krzysztof Szurpicki3Tomasz Wojtala4Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, PolandFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, PolandFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, PolandFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, PolandFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, PolandThe recently introduced continuous-time perfect control algorithm has revealed a great potential in terms of the maximum-speed and maximum-accuracy behaviors. However, the discussed inverse model-originated control strategy is associated with considerable energy consumption, which has exceeded a technological limitation in a number of industrial cases. In order to prevent such an important drawback, several solutions could be considered. Therefore, an innovative perfect control scheme devoted to the multivariable real-life objects is investigated in this paper. Henceforth, the new IMC-related approach, strongly supported by the vital sensor-aided system, can successfully be employed in every real-time engineering task, where the precision of conducted processes plays an important role. Theoretical and practical examples strictly confirm the big implementation potential of the new established method over existing ones. It has been seen that the new perfect control algorithm outperforms the classical control law in the form of LQR (considered in two separate ways), which is clearly manifested by almost all simulation examples. For instance, in the case of the multi-tank system, the performance indices ISE, RT, and MOE for LQR without an integration action have been equal to 2.431, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.4</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.655</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>6</mn></mrow></msup></mrow></semantics></math></inline-formula>, respectively, whilst the respective values 1.638, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.58</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.514</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></semantics></math></inline-formula> have been received for the proposed approach.https://www.mdpi.com/1424-8220/23/4/1947continuous-time systemsperfect controlpractical implementationreal-life plantstate-space description
spellingShingle Paweł Majewski
Wojciech P. Hunek
Dawid Pawuś
Krzysztof Szurpicki
Tomasz Wojtala
A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
Sensors
continuous-time systems
perfect control
practical implementation
real-life plant
state-space description
title A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
title_full A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
title_fullStr A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
title_full_unstemmed A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
title_short A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain
title_sort sensor aided system for physical perfect control applications in the continuous time domain
topic continuous-time systems
perfect control
practical implementation
real-life plant
state-space description
url https://www.mdpi.com/1424-8220/23/4/1947
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