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Article

Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors

1
Institute of Automotive Mechatronics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, SK-812 19 Bratislava, Slovakia
2
Department of Computer Automation and Control, J. Stefan Institute, SI-1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editor: Aleksei Tepljakov
Sensors 2022, 22(10), 3753; https://doi.org/10.3390/s22103753
Received: 25 April 2022 / Revised: 11 May 2022 / Accepted: 12 May 2022 / Published: 14 May 2022
(This article belongs to the Special Issue Intelligent Control and Digital Twins for Industry 4.0)
The article deals with a computer-supported design of optimal and robust proportional-integral-derivative controllers with two degrees of freedom (2DoF PID) for a double integrator plus dead-time (DIPDT) process model. The particular design steps are discussed in terms of intelligent use of all available information extracted from a database of control tracking and disturbance rejection step responses, assessed by means of speed and shape-related performance measures of the process input and output signals, and denoted as a performance portrait (PP). In the first step, the performance portrait method (PPM) is used as a verifier, for whether the pilot analytical design of the parallel 2DoF PID controller did not omit practically interesting settings and shows that the optimality analysis can easily be extended to the series 2DoF PID controller. This is important as an explicit observer of equivalent input disturbances based on steady-state input values of ultra-local DIPDT models, while the parallel PID controller, allowing faster transient responses, needs an additional low-pass filter when reconstructed equivalent disturbances are required. Next, the design efficiency and conciseness in analyzing the effects of different loop parameters on changing the optimal processes are illustrated by an iterative use of PPM, enabled by the visualization of the dependence between the closed-loop performance and the shapes of the control signals. The main contributions of the paper are the introduction of PPM as an intelligent method for controller tuning that mimics an expert with sufficient experience to select the most appropriate solution based on a database of known solutions. In doing so, the analysis in this paper reveals new, previously undiscovered dimensions of PID control design. View Full-Text
Keywords: multiple real dominant pole method; performance portrait; PID control; disturbance observer; ultra-local models multiple real dominant pole method; performance portrait; PID control; disturbance observer; ultra-local models
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MDPI and ACS Style

Huba, M.; Vrancic, D. Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors. Sensors 2022, 22, 3753. https://doi.org/10.3390/s22103753

AMA Style

Huba M, Vrancic D. Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors. Sensors. 2022; 22(10):3753. https://doi.org/10.3390/s22103753

Chicago/Turabian Style

Huba, Mikulas, and Damir Vrancic. 2022. "Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors" Sensors 22, no. 10: 3753. https://doi.org/10.3390/s22103753

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