Continuous Order Identification of PHWR Models Under Step-back for the Design of Hyper-damped Power Tracking Controller with Enhanced Reactor Safety
Saptarshi Das, Sumit Mukherjee, Shantanu Das, Indranil Pan, Amitava, Gupta

TL;DR
This paper develops continuous order models of a nuclear reactor to design hyper-damped controllers, enhancing safety by ensuring stable power tracking across various operating conditions using fractional order control techniques.
Contribution
It introduces a novel approach to identify fractional order models of a nonlinear reactor around multiple operating points for improved control and safety.
Findings
Fractional order models accurately represent reactor dynamics.
Hyper-damped controllers improve safety margins.
Power tracking remains effective across wide operating range.
Abstract
In this paper, discrete time higher integer order linear transfer function models have been identified first for a 500 MWe Pressurized Heavy Water Reactor (PHWR) which has highly nonlinear dynamical nature. Linear discrete time models of the nonlinear nuclear reactor have been identified around eight different operating points (power reduction or step-back conditions) with least square estimator (LSE) and its four variants. From the synthetic frequency domain data of these identified discrete time models, fractional order (FO) models with sampled continuous order distribution are identified for the nuclear reactor. This enables design of continuous order Proportional-Integral-Derivative (PID) like compensators in the complex w-plane for global power tracking at a wide range of operating conditions. Modeling of the PHWR is attempted with various levels of discrete commensurate-orders and…
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