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Journal ArticleDOI

Design and Implementation of a Preemptive Disturbance Rejection Controller for PEM Fuel Cell Air-feed System Subject to Load Changes

TL;DR: In this article, a robust regulatory controller (termed as Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller) is developed to control oxygen excess ratio and compared with widely accepted schemes namely Proportional Integral Derivative (PID), Model Predictive Control (MPC) in all the control schemes, the control objectives aim to maintain the desire oxygen excess ratios while keeping the compressor voltage at its nominal working point under input and output operational constraints.
Abstract: The paper focuses on the control of air feed system on the PEM fuel cell subject to load changes For this purpose, a robust regulatory controller (termed as Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller) is developed to control oxygen excess ratio and compared with widely accepted schemes namely Proportional Integral Derivative (PID), Model Predictive Control (MPC) In all the control schemes, the control objectives aim to maintain the desire oxygen excess ratio while keeping the compressor voltage at its nominal working point under input and output operational constraints The two different scenarios: (1) Robustness Output tracking and (2) Disturbance rejection for each configuration are compared using computational time and performance indicators like Integral Square Error (IS E) The novel contribution of this work is the comparison of the performance of the schemes with respect to computational time Simulation results allow evaluating effectiveness of the RTDA controller and the performance of each configuration applied to Polymer Electrolyte Membrane (PEM) Fuel cell air feed system
Citations
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Proceedings ArticleDOI
01 Feb 2018
TL;DR: ARTD controller provides better performance and is demonstrated via MATLAB/Simulink simulation tool and the comparison is made with conventional PID controller.
Abstract: Recently an alternative of proportional - integral-derivative controller (PID) has been developed which is alternative RTD (ARTD) controller for single input single output system. It is a four-mode control scheme whose tuning parameters are directly related to controller performance (Robustness, set point Tracking, Disturbance rejection and controller Aggressiveness). It is a combination of simple PID controller and MPC (Model Predictive Control). Implementation of ARTD is direct and transparent. The ARTD tuning parameters lie between 0 and 1. The proposed controller is applied on a permanent magnet DC motor according to the proposed tuning rules. ARTD controller provides better performance and is demonstrated via MATLAB/Simulink simulation tool. The comparison is made with conventional PID controller.

1 citations


Cites methods from "Design and Implementation of a Pree..."

  • ...PROCESS MODEL AND REPRESENTATION Process model chosen in this paper is PMDC Motor [10]....

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  • ...In the literature, the ARTD controller algorithm is implemented only on the chemical processes such as continuously stirred tank reactor, conical tank process, evaporation processes and fuel cell [5-10]....

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Book ChapterDOI
01 Jan 2020
TL;DR: This work focuses on effective disturbance rejection in each operating region and robustness in tracking the desired output in the pH neutralization process, which has different operating regimes.
Abstract: For the control of pH value in neutralization process, three closed-loop control schemes are designed in this work, namely Proportional–Integral Derivative (PID), model predictive control (MPC) and Robustness Tracking Disturbance Overall Aggressiveness (RTDA) controller. As the title of the paper implies, the neutralization process undergoes addictive changes in its process parameters that clearly indicate the necessity of introducing this advanced control technique for this process. RTDA controller is a next generation regulatory controller which is an alternative to the popular PID control scheme. It combines the simplicity of the PID controller with the versatility of MPC. The pH neutralization is a highly non-linear and time-varying process, which has different operating regimes. The control objective in neutralization process is to sustain pH value at the prescribed level by controlling the flow rate of both acid and base. Takagi Sugeno (TS) Fuzzy-Tuned RTDA controller is employed for this process to vary the controller parameters for each operating point so that the set-point can be tracked effectively in all the operating regimes. An additive load disturbance is applied in the flow rate of acid and base to obtain the regulatory response. Thus, the paper focuses on effective disturbance rejection in each operating region and robustness in tracking the desired output. The simulation results are compared using time domain specifications, computational time and performance index like integral square error (ISE).
Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, a simplified next-generation unconventional robustness, set-point tracking, disturbance rejection, aggressiveness (RTDA) controller is designed for controlling the quadruple tank system (QTS) which is an eminent benchmark Multi-input multi-output (MIMO) system.
Abstract: Recent scientific and technological progress is demanding the development of efficient control systems for industrial processes. Majority of the industrial systems are nonlinear and multivariable in nature and hence, it becomes insistent to develop a superior controller satisfying the performance requirements under various constraints and limitations. Though conventional controllers are widely accepted in many industries, it evokes some limitations when applied to multivariable systems. In this paper, a simplified next-generation unconventional robustness, set-point tracking, disturbance rejection, aggressiveness (RTDA) controller is designed for controlling the quadruple tank system (QTS) which is an eminent benchmark Multi-input multi-output (MIMO) system. RTDA controller with its enhanced features tunes each design parameter separately to obtain the optimum performance attributes, where a conventional controller fails to do so. A comparative study is done between Internal model control (IMC) tuned PI controller and RTDA controller for the decoupled process. From the simulation results and analysis, RTDA controller stands to be preeminent than conventional controller in overcoming the control challenges that are associated with multivariable systems and ensuring set-point tracking, robustness, and disturbance rejection.
References
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Journal ArticleDOI
TL;DR: In this article, the authors present a control approach to the air feed of a fuel cell based on a single input single output sliding mode control, which is able to deal with the nonlinearities and uncertainties without the need of heavy computation load for the controller algorithm.

123 citations

Journal ArticleDOI
12 Oct 2003
TL;DR: In this paper, a parametric cerebellar model articulation controller (P-CMAC) is used to control the output voltage of a proton exchange membrane fuel cell (PEM-FC) by means of NOC.
Abstract: This paper demonstrates an application of the parametric cerebellar model articulation controller (P-CMAC) network - a neural structure derived from Albus' CMAC algorithm and Takagi-Sugeno-Kang parametric fuzzy inference systems. It resembles the original CMAC proposed by Albus in the sense that it is a local network, i.e., for a given input vector, only a few of the networks neurons will be active and will effectively contribute to the corresponding network output. The internal mapping structure is built in such a way that it implements, for each CMAC memory location, one linear parametric equation of the network input strengths. First, a new approach to design neural optimal control (NOC) systems is proposed. Gradient-descent techniques are still used here to adjust network weights, but this approach has many differences when compared to classical error backpropagation algorithm. Then, P-CMAC is used to control the output voltage of a proton exchange membrane fuel cell (PEM-FC), by means of NOC. The proposed control system allows the definition of an arbitrary performance/cost criterion to be maximized/minimized, resulting in an approximated optimal control strategy. Practical results of PEM-FC voltage behavior at different load conditions are shown, to demonstrate the effectiveness of the NOC algorithm.

95 citations

Journal ArticleDOI
TL;DR: In this article, a control-oriented dynamic model of a catalytic partial oxidation-based fuel processor is developed using physics-based principles, which can be used in a multivariable analysis to determine characteristics of the system that might limit performance of a controller or a control design.

81 citations

Journal ArticleDOI
TL;DR: In this paper, a simplified dynamic model for fuel cells is developed, based on the concept of instantaneous characteristic, which is the set of values of current and voltage that a fuel cell can reach instantaneously.

75 citations

Journal ArticleDOI
TL;DR: A nonlinear temperature predictive control algorithm based on an improved Takagi–Sugeon (T–S) fuzzy model is presented, which can be identified by the training data and becomes a predictive model.

61 citations