Affiliation:
1. Debre Berhan University
2. Adama Science and Technology University
Abstract
Abstract
In this paper, Field programmable gate array (FPGA) realization of fuzzy PI controller for Stirred Tank Heater system is presented. The commonly used PI controller in industry though it is simple for implementation lacks reliability when the dynamics of a system changes with time. Replacing PI controllers with AI systems can lead an effective control of a system even in the presence of model uncertainties. The digital implementation of AI systems in DSP or Microcontrollers have limitations of low computational accuracy and slow processing speed. Now adays, FPGAs are being largely used for digital implementation of algorithms because of their higher computational speed and accuracy. In this paper, fast and novel design approach for rapid prototyping of Fuzzy PI controller for Stirred Tank Heater is presented thoroughly. System Generator SIMULINK add on from VIVADO is used to generate Very High-Speed Integrated Circuit Hardware Description Language (VHDL) directly from MATLAB. The developed controller for stirred tank system is verified in Fixed point arithmetic using Xilinx Simulink blocks. The VHDL code is then generated, synthesized, implemented and made ready for physical implementation on Kintex-7 evaluation board.
Publisher
Research Square Platform LLC
Reference21 articles.
1. Temperature Control of Stirred Tank Heater using Optimal Control Technique;Jibril M;Res J,2020
2. Comparison of Cascade and Feedforward-Feedback Controllers for Temperature Control on Stirred Tank Heater Systems;Bhakti S;2018 Int Semin Appl Technol Inf Commun Comp,2018
3. Mahmood QA, Nawaf AT, Esmael MN, Abdulateef LT, Dahham OS (2018) “PID Temperature Control of Demineralized Water Tank,” in IOP Conference Series: Materials Science and Engineering, vol. 454, no. 1, pp. 1–10, doi: 10.1088/1757-899X/454/1/012031
4. A survey on control techniques of a benchmarked continuous stirred tank reactor;Alshammari O;J Eng Sci Technol,2018
5. Design and Simulation of Fuzzy Logic Based Temperature Control for a Mixing Process in Therapeutic Pool;Munadi;MATEC Web Conf,2018