Design of Single-Input Fuzzy Logic Controller for Spatial Control of Advanced Heavy Water Reactor

Londhe, P. S.; Patre, B. M.; Tiwari, A.P.

doi:10.1109/tns.2014.2303088

Cited by 37 publications

(19 citation statements)

References 26 publications

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“…Hence, periodic output feedback (POF)-based controller for three-time-scale system of AHWR is presented in [26] with a sampling period of 2 s. Although MROF-based controllers (i.e., FOS and POF) give a very simple control structure, they lack robustness and may not work satisfactorily in the presence of disturbance, parameter variations, and perturbation in operating conditions. Hence, a single-input fuzzy logic controller [27] and robust continuous-time SMC (CSMC) [28] are proposed for spatial control of AHWR. In [28], AHWR system is decoupled into slow and fast subsystems by two-stage decomposition and CSMC is designed using merely slow subsystem states.…”

Section: Brief Overview Of Ahwrmentioning

confidence: 99%

Discrete-Time Sliding Mode Spatial Control of Advanced Heavy Water Reactor

Munje¹,

Patre²,

Tiwari

2016

IEEE Trans. Contr. Syst. Technol.

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This brief presents the design of a discrete-time sliding mode control (DSMC) for spatial power stabilization of advanced heavy water reactor (AHWR). Mathematical model of AHWR is represented by 90 first-order nonlinear differential equations with 18 outputs and five inputs. The linear model is obtained by linearizing nonlinear equations over the rated power. This linear model is found to be highly ill conditioned and is possessing three-time-scale property. Initially, the linear model is transformed into block diagonal form to separate slow, fast 1, and fast 2 subsystems and then DSMC is designed using slow subsystem alone since fast 1 and fast 2 subsystems are stable. The proposed DSMC strategy is designed using the constant plus proportional rate reaching law with matched disturbance. Finally, the nonlinear multivariable model of AHWR is simulated with the designed controller and the results are generated under different transients. The efficacy of the proposed DSMC is demonstrated with the comparison of prevalent controllers in the literature and the performance is evaluated under the same transient levels.Index Terms-Advanced heavy water reactor (AHWR), composite control, discrete-time sliding mode control (DSMC), global power control in large reactors, reaching law, spatial control.

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Section: Brief Overview Of Ahwrmentioning

confidence: 99%

Discrete-Time Sliding Mode Spatial Control of Advanced Heavy Water Reactor

Munje¹,

Patre²,

Tiwari

2016

IEEE Trans. Contr. Syst. Technol.

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“…For example in [23], sampling time for spatial control component of input is taken as 60 s. A similar kind of approach for two-time-scale system is suggested in [24] for the AHWR, where sampling time is taken as 54 s. However, for practical reactor control to work with larger sampling time is not desirable, because in small time, reactor can undergo a considerable change. Recently, a single-input fuzzy logic controller has been proposed for spatial control of AHWR [25]. Munje et al have explored the application of robust Sliding Mode Control (SMC) technique to AHWR [26].…”

Section: Overview Of Ahwrmentioning

confidence: 99%

Periodic Output Feedback for Spatial Control of AHWR: A Three-Time-Scale Approach

Munje¹,

Patre²,

Tiwari

2014

IEEE Trans. Nucl. Sci.

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This paper presents a novel technique of designing Periodic Output Feedback (POF) based controller for three-timescale systems. This design method is investigated for spatial control of Advanced Heavy Water Reactor (AHWR). The numerically ill-conditioned system of AHWR is first decomposed into three subsystems, namely, slow, fast 1 and fast 2 by direct block-diagonalization and then a composite controller is designed which provides an output injection gain. This output injection gain has been used to compute POF gain, which is then applied to the vectorized nonlinear model of AHWR to achieve spatial control. This controller is tested via simulations carried out under different transient conditions and the results of simulation are presented.Index Terms-Advanced heavy water reactor, periodic output feedback, spatial control, three-time-scale system.

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“…However, the chattering problem is one of the most critical handicaps for applying the SMC system to real applications. On the other hand, based on the fuzzy rules base of fuzzy controller having skew-symmetric property, a fuzzy sliding-mode controller (FSMC) system is proposed to offer a significant reduction in rule inferences and simplify the tuning of control parameter [12][13][14]. Since only one variable (sliding surface) is defined as the input variable for fuzzy rules, the number of the fuzzy rules for FSMC is smaller than that for fuzzy control which uses the error and change of error as the input variables.…”

Section: Introductionmentioning

confidence: 99%