Enhancing CSTR System Performance: A Novel Approach with Flower Pollination-Based Integral Derivative Control

DOI

10.2991/978-94-6463-406-8_9How to use a DOI?

Keywords

—Continuous Stirred Tank Reactor (CSTR); Fractional Order PID Controllers; Multi-Criteria Decision Making (MCDM); Evolutionary Multi-Objective Optimization (EMO); Hybrid Methods

Abstract

In a Continuous Stirred Tank Reactor (CSTR), Fractional Order PID controllers, in conjunction with nominal PID controllers, have been employed for Multi-Criteria Decision Making (MCDM) and Evolutionary Multi-objective Optimization (EMO). The control parameters have been fine-tuned using Hybrid methods in Multi-objective optimization. However, the performance of this combined Fractional Order PID and nominal PID controller approach is limited by its maximum estimation capability. This research aims to enhance the performance of the CSTR system by introducing the Flower Pollination Algorithm-based Multi-objective optimization with Genetic evaluation. This approach incorporates Fractional Order PID controllers alongside nominal PID controllers to regulate the CSTR’s behavior. The Flower Pollination Algorithm is employed to identify maximum variations in the system’s practical state, while Genetic evaluation is utilized to assess and adapt to these variations. The proposed approach is referred to as the Flower Pollination Integral Derivative (FPID) controller, alternatively denoted as Flower Optimization Integral Derivative (FOID). It effectively tunes the parameters of the Fractional Order PID and nominal PID controllers for different regions within the CSTR, thereby improving the multi-criteria decision-making process. Furthermore, the Genetic evaluation scheduler is integrated with multiple local linear Fractional Order PID controllers and nominal PID controllers to ensure loop stability across various temperature levels within the entire system. MATLAB results substantiate the feasibility of employing the proposed FPID/FOID controller, highlighting its superiority over the conventional PID controller. Specifically, the FOID controller demonstrates superior performance, indicating its potential for optimizing CSTR operations. In summary, this research introduces an innovative control strategy, the FPID/FOID controller, which leverages the Flower Pollination Algorithm and Genetic evaluation to enhance the performance of the CSTR system. The experimental results underscore its advantages over traditional PID controllers, particularly the FOID controller, which exhibits superior performance. This work lays the foundation for further developments in the realm of advanced control strategies for CSTR systems, offering promising implications for industrial applications.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aryo Wibowo Muhammad Sidik
AU  - Alfaozan Imani Muslim
AU  - Wahyu Dwi Nurhidayat
AU  - Harurikson Lumbantobing
AU  - Andika Kurniawan
AU  - Odi Akhyarsi
PY  - 2024
DA  - 2024/05/13
TI  - Enhancing CSTR System Performance: A Novel Approach with Flower Pollination-Based Integral Derivative Control
BT  - Proceedings of the 2nd International Conference on Consumer Technology and Engineering Innovation (ICONTENTION 2023)
PB  - Atlantis Press
SP  - 40
EP  - 45
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-406-8_9
DO  - 10.2991/978-94-6463-406-8_9
ID  - WibowoMuhammadSidik2024
ER  -