Proceedings ArticleDOI
Auto-tuning Method for decentralized PID controller of TITO systems using firefly algorithm
Reads0
Chats0
TLDR
The Firefly Algorithm is used to design a decentralized PID controller for the TITO system to avoid the multidimensional non-linear problem that might be simply resolved by the firefly algorithm with greater convergence fastness and low calculus time.Abstract:
The present work uses the Firefly Algorithm (FA) to design a decentralized PID controller for the TITO system. Generally, the difficulty arises in TITO systems is that if any one of the input changes then it’s an adverse effect on both the output responses. therefore; it causes a peak overshoot and takes more time to settle. To overcome this drawback, a new objective function is introduced in this paper. Here Both the PID controller parameters are tuned at the same time to avoid the multidimensional non-linear problem that might be simply resolved by the firefly algorithm with greater convergence fastness and low calculus time. The proposed method is compared with direct synthesis methods in simulation, the study shows the convincingness of the proposed method performance. Measured performance indices are optimal, and the effect of one input to another output is also small with minimal peak overshoot.read more
Citations
More filters
Journal ArticleDOI
Iterative Method for Tuning Multiloop PID Controllers Based on Single Loop Robustness Specifications in the Frequency Domain
TL;DR: This work proposes an iterative design methodology of multiloop PID controllers for stable multivariable systems using single-input single-output methods for the corresponding effective open loop process (EOP), which considers the interaction of the other loops closed with the controllers of the previous step.
Journal ArticleDOI
A Novel Hybrid Firefly Algorithm Based on the Vector Angle Learning Mechanism
TL;DR: A novel hybrid fireflies algorithm based on the vector angle learning mechanism (HFA-VAL) is proposed, which can combine the advantages of both the firefly algorithm (FA) and differential evolution (DE) by the vector angles learning mechanism.
Journal ArticleDOI
Design of decentralized proportional–integral proportional–retarded controllers in discrete-time domain for two-input two-output processes
TL;DR: In this paper, a decentralized proportional-integral proportional-retarded (PI-PR) controller design method is proposed for two-input-two-output (TITO) systems in discrete-time domain.
Journal ArticleDOI
Agent-Based Decentralized Model Predictive Control for Plants With Multiple Identical Actuators
Sandro Kofler,Elisabeth Luchini,Alexander Schirrer,Markus Fallmann,Oliver König,Martin Kozek,Christoph Hametner,Stefan Jakubek +7 more
TL;DR: In this paper , a decentralized model predictive control (DMPC) algorithm without communication is proposed for systems consisting of multiple identical, independent actuators acting on a single central plant, where each agent, consisting of an actuator and a DMPC, controls a virtually scaled version of the plant to implicitly consider the effects of other agents.
Journal ArticleDOI
İki Girişli İki Çıkışlı Sistemlerde Ayrık Zamanda PI-PR2 Kontrolör Tasarımı
TL;DR: In this article , the authors present a PIR2 kontrolör tasarlanmıştır, i.e., a kontroler with a parametre düzlemine kümesi elde edilmiştir.
References
More filters
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI
Optimum Settings for Automatic Controllers
J. G. Ziegler,N. B. Nichols +1 more
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.
Book
Nature-Inspired Metaheuristic Algorithms
TL;DR: This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms.
Journal ArticleDOI
PID control system analysis, design, and technology
Kiam Heong Ang,G. Chong,Yun Li +2 more
TL;DR: It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging, and the inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree.
Book
Engineering Optimization: An Introduction with Metaheuristic Applications
TL;DR: The author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms.