Comparative Analysis of Various Control Strategies for a Nonlinear CSTR System
Abstract
Continuous stirred tank reactor (CSTR) is a highly nonlinear process particularly when chemical reaction takes place. The heat energy will be either liberate or absorbed by the reactor due to the reaction. The control of temperature for this process is a real challenge due to nonlinear temperature changes during reaction. In this paper a mathematical model of CSTR with its transfer function is taken for controller design and analysis. The temperature inside the reactor is controlled by altering the coolant jacket temperature. This paper compares the performances of the proportional integral derivative controller (PID) controller, PID-based nonlinear autoregressive moving average (NARMA) controller and fuzzy-based PID controller. The proposed PID-based NARMA controller shows better control of temperature than the conventional PID controller. The fuzzy-based PID controller also shows a reasonable optimal performance.
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DRAM has the desirable feature of tuning the reliable proposal distribution without defining it manually.
“However, the method considered in this paper is the DRAM, presented in Algorithm 1 since it has the desirable feature of tuning the reliable proposal distribution without defining it manually [45,46].”
From Markov Chain Monte Carlo Analysis of the Variable-Volume Exothermic Model for a Continuously Stirred Tank Reactor (2021) · cites this paper as [45]
The DRAM algorithm combines Delayed-Rejection and Adaptive Metropolis methods to efficiently improve and speed up computation for slow-start adaptation.
“The DRAM algorithm is chosen since it combines and utilizes both the Delayed-Rejection (DR) and the Adaptive Metropolis (AM) methods to efficiently improve and speed-up the computation process for a slow-start adaptation.”
From Markov Chain Monte Carlo Analysis of the Variable-Volume Exothermic Model for a Continuously Stirred Tank Reactor (2021) · cites this paper as [45]
Cited by
Sorted by citations
Muhirwa, J. P., Mbalawata, S. I., & Masanja, V. G. (2021) · Engineering, Technology & Applied Science Research · doi:10.48084/etasr.3962 · Cited by 9 · see citing works
- Authors
- Madhu Sudhanan, R., & Poongodi, D. P.
- Affiliations
- Department of ECE , Arjun College of Technology , Coimbatore 642120 , Tamil Nadu , India
- Department of ECE , KIT-Kalaignarkarunanidhi Institute of Technology , Kannampalayam(Post) , Coimbatore - 641402 , India
- Venue
- International Journal of Nonlinear Sciences and Numerical Simulation
- Publisher
- Walter de Gruyter GmbH
- Published
- 2017-03-30
- Volume
- 18
- Issue
- 3-4
- Pages
- 269-276
- ISSN
- 1565-1339 (ISSN-L)
- 2191-0294
- OpenAlex
- W2598468970
- Cited by
- 5
- References
- 0
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 3
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Nonlinear Sciences and Numerical Simulation (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- continuous stirred tank reactor, temperature control, nonlinear process control, PID controller, fuzzy PID control, transfer function model, controller performance comparison
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