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Tokamaks are the most proficient devices for acquiring nuclear fusion energy from high-temperature, ionized gas termed as Plasma. Mostly, tokamaks are utilized the toroidal magnetic plasma component and poloidal magnetic plasma component to retain and automatic control. Similar characteristics of two operational amplifiers should be needed in the integration system to calculate the drift value. Inductive magnetic sensors are routinely utilized on existing Tokamaks, are well comprehended and they oblige signal integration to focus the strength of the magnetic field. However, the signal integration failed to solve the problem of deciding the stability of the controlled systems. The Sample and Hold Amplifier (SHA) is an essential part of the sampling (Analog Devices, 2009) to digital convert (ADC). The proposed method is used for eliminating the offset drift of the Integrator for long pulse operations. Adaptive Self Organizing Fuzzy Radial Basis-Function Neural Network Controller (ASFRBNC) and DAC amplifiers are able to adjust the signal for utilization of the PCS and DAS dynamic ranges. The loop processing has done with MATLAB Simulink process. This tokamak has 100s pulse lengths, oblige integrators with better attributes in drift and noise with the long pulse lengths. The proposed system was implemented in Field Programmable Gate Array (FPGA) chip with the use of Verilog Hardware Description-Language (Verilog HDL). The experimental results shown that the proposed method obtained 745 Slices, 61 Flip-Flops (FF), 46 I/O buffers (IOBs), 1221 4bit Look up Tables (LUT) and synchronized with the maximum 50.36MHz clock frequency. The obtained hardware results have been matched with the MATLAB simulation results.

FPGA Based ASFSRBN Controller for Low Offset Integrator for Long Pulse Operation in Aditya Tokamak