![]() ![]() suggested two degrees of freedom PID based inferential control for the temperature control of continuous bioreactor in a fermentation process.ĭespite the development of the advanced control techniques, more than 95% of the process industrial control loop (chemical, biochemical, and pharmaceutical industries) uses PID type controller due to its simple structure, ease of implementation and robust nature, , ]. Takagi-Sugeno and fuzzy-PI with split range control were used to control the temperature of the bioreactor of the fermentation process. ![]() A fractional order IMC-PID (FOIMC-PID) and modified fractional order IMC-PID (MFOIMC-PID) were used for temperature control of the bioreactor in the fermentation process and further, a water cycle algorithm was used to optimize the designed controller parameters which lead to WMFOIMC-PID controller. A nonlinear model predictive control and model reduction technique with model parameter estimation was studied to control the anaerobic digestion process. The Linear Model Predictive Control (LMPC) technique, Proportional-Integral-Derivative (PID) controller and the neural network Model Predictive control schemes were used to control the reactor temperature, and the closed-loop results of all methods were compared. Nagy developed the dynamic models of a bioreactor and used a feedforward artificial neural network (ANN) for temperature control of a continuous yeast fermentation process for ethanol production. The literature shows that several conventional and advanced control techniques have been used to control the pH and temperature of the bioreactor. The growth of microorganisms in the bioreactor depends on various process operating parameters such as inlet/outlet temperature and pH of the reactor. The biochemical industry uses a living system or microorganisms to produce or manufacture the products to improve health standards and produces an alternative fuel. and in the treatment of industrial waste-water several biological processes occurred. Biotechnology and biochemical process industry became an essential aspect of research in the last few decades due to its usefulness in the production of daily life use products like, medical and health sector products (medicines and vaccines), agro-based food like beer, wine etc.
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