Design of decentralized controllers for MIMO processes

Lengare, M. J.; Chile, R. H.; Waghmare, L. M.

doi:10.1016/j.compeleceng.2011.11.027

Cited by 37 publications

(15 citation statements)

References 24 publications

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“…The controller designed by proposed algorithm is compared with prevalent tuning method given by Lengare et al [17]. Mathworks MATLAB 7.1 is used to perform the simulation of the systems.…”

Section: Simulation Resultsmentioning

confidence: 99%

PSO based PID tuning TITO process

Nema

Padhy

2012

2012 IEEE International Conference on Computational Intelligence and Computing Research

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In this paper presents a noval approach to design of PID controller for two input two output (TITO) system using Particle Swarm Optimization (PSO) technique. The PSO technique is used to find the global optimum values of PID parameters for TITO processes which help in easy implementation, stable convergence characteristic, better computational efficiency and fast tuning of process .In order to maintain estimating the performance of the proposed controller, a new time-domain performance index was also defined i.e. Integral square error (ISE).The analysis and procedure are illustrated through simulation for TITO processes. Keywords -Proportional-integral derivative (PID) controller, Particle swarms optimization (PSO), Two-input two-output (TITO) system, Integral square error (ISE). I. INTRODUCTIONIn the chemical and process industries decentralized PID control is one of the most popular control schemes for interacting multiple-input multiple output (MIMO) plants. The main reason to use this controller is to simple, give good performance and easy to implementation for wide range of process. The tuning of controller in MIMO plant is more complicated because of the interactions between loops. A small change in one loop affects the other loop. Many researchers have addressed about the decentralized PID controllers tuning for MIMO processes[2-10].The most well known method for PID tuning for single-input single-output (SISO) is Ziegler-Nichols(ZN) method in 1942 [1]. In this method various instructions are proposed for tuning the PID controller parameters. The method of Niederlinski (1971) [2] is a more natural extension of the ZN tuning procedure of the MIMO processes. Marino-Gallarraga et al. (1987) [3] presented a design method that combines information regarding the MIMO system performance and SISO properties of each loop. The-BLT-(biggest log modulus tuning) method (Luvben. 1986) [4] also aims at tuning decentralized PID controllers. Design of multi-loop controller is numerically difficult. Lately, Wang et al. [5] presented a controller design method for MIMO system. Astrom and Hagglund [6] introduced the relay autoprocess for identification of unknown process dynamics.. Several approaches have been proposed for identification in the literature in order to get good responses for significant loop interaction. One approach is to develop a full matrix transfer function model for the process 1,

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“…The controller designed by proposed algorithm is compared with prevalent tuning method given by Lengare et al [17]. Mathworks MATLAB 7.1 is used to perform the simulation of the systems.…”

Section: Simulation Resultsmentioning

confidence: 99%

PSO based PID tuning TITO process

Nema

Padhy

2012

2012 IEEE International Conference on Computational Intelligence and Computing Research

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“…Accordingly, the decoupling network has to be designed, so that the interaction between control loops is minimized [20, 21]. For control purposes, conventional control schemes as PID can be utilized [22–24]. It is to mention that the nonlinearity and the model imprecision that characterize the majority of physical systems reduce the robustness and accuracy of such controllers.…”

Section: Introductionmentioning

confidence: 99%

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process

Abdel-Karim

Mohamed

El-Garhy

et al. 2016

Computational Intelligence and Neuroscience

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The two-coupled distillation column process is a physically complicated system in many aspects. Specifically, the nested interrelationship between system inputs and outputs constitutes one of the significant challenges in system control design. Mostly, such a process is to be decoupled into several input/output pairings (loops), so that a single controller can be assigned for each loop. In the frame of this research, the Brain Emotional Learning Based Intelligent Controller (BELBIC) forms the control structure for each decoupled loop. The paper's main objective is to develop a parameterization technique for decoupling and control schemes, which ensures robust control behavior. In this regard, the novel optimization technique Bacterial Swarm Optimization (BSO) is utilized for the minimization of summation of the integral time-weighted squared errors (ITSEs) for all control loops. This optimization technique constitutes a hybrid between two techniques, which are the Particle Swarm and Bacterial Foraging algorithms. According to the simulation results, this hybridized technique ensures low mathematical burdens and high decoupling and control accuracy. Moreover, the behavior analysis of the proposed BELBIC shows a remarkable improvement in the time domain behavior and robustness over the conventional PID controller.

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“…Finally, the control system can be brought gradually into service during operation and be taken gradually out of service during shut down. Another advantage of decentralized controllers is the loop failure tolerance of the resulting closed‐loop system even though the extensive advances of single‐loop control tuning methods cannot be directly applied to design decentralized control systems . However, the inherent difficulty in designing these local controllers is introduced among the loop interactions.…”

Section: Introductionmentioning

confidence: 99%

“…The design process of a decentralized control system consists of two main steps, found in several papers:…”

Section: Introductionmentioning

confidence: 99%

PI controller design for a TITO system based on delay compensated structure and direct synthesis

Jin

Zhu

Wang³

et al. 2016

Can J Chem Eng

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The present study suggests a new scheme to design a decentralized PI controller for two‐input two‐output (TITO) processes. The decentralized controller is obtained from the direct synthesis method. The decoupler is derived from a modified decoupler and minimizes the interaction between the loops. Then a new reduced method based on equivalent transfer function (ETF) with relative gain array concept and relative normalized relative gain array concept reduces the decoupled process transfer functions to first‐order plus time delay (FOPTD) forms. Further, two PI controllers are obtained in the proposed delay‐compensated configuration in terms of the only parameter in every individual loop for the FOPTD transfer functions. Three illustrative examples demonstrate that the performance is verified on the original interactive system and show the effectiveness of the proposed design method. The results confirm the superior performance of the proposed compensation configuration in nominal and robust cases. The proposed method also offers several important advantages compared to other previous methods.

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Design of decentralized controllers for MIMO processes

Cited by 37 publications

References 24 publications

PSO based PID tuning TITO process

PSO based PID tuning TITO process

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process

PI controller design for a TITO system based on delay compensated structure and direct synthesis

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