Experimental High Pressure Process Control of Novel Deep-Sea Microbial System

This paper describes the real-time development, controller modelling and implementation of the deep-sea environmental conditions mimicking lab system. Deep-sea environmental variables of pressure and temperature are mimicked in the fully automated PC controlled high-pressure system. The conventional PI, Genetic Algorithm (GA) and Fuzzy Logic Control (FLC) methods are used to achieve a better control action with respect to load disturbances and set point changes at elevated pressure. These parameter controllers are implemented in simulation and real-time experiment. The simulation is carried out in the MATLAB environment in which the results shows that FLC is effective in tracking set point and has resulted in a minimum value of the performance indices, peak overshoot and settling time as compared to conventional methods. The controllers are tested with servo and regulatory operations and compared in terms of time domain specification and performance index criterion. In the reactor temperature control loop the maximum overshoot of decentralized control method is 15.3% and it is significantly reduced to zero in FLC decoupled method. The experimental results show that the model accuracy and it match favorably with the simulation results.