Browsing by Author "Njoku, Donatus Onyedikachi"

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    A hybrid intelligent control model for regulating pH in industrial chemical process
    (Federal University of Technology, Owerri, 2022-12) Njoku, Donatus Onyedikachi
    This work presented a hybrid intelligent control model for pH regulation in industrial chemical process. The problems of most chemical process are due to the complexities in manipulating non-linear and uncertainty variables. Again, the conventional models used to control processes are prompt to disturbance. The dynamic model approach adopted the first order plus delay time (FOPDT) process transfer function to analyzed the system. The research adopted proportional integral and derivative (PID) and Fuzzy logic system the hybrid compensator model for the developed system. PID model was designed to be tuned in MATLAB window to obtain the variable parameter the Fuzzy Logic system were further integrated with PID to control perturbation and uncertainty among the parameters. The fuzzy logic was designed using Fuzzy Inference System (FIS) in the MATLAB software tool. The gains of the PID algorithm were combined with the Fuzzy Logic system to produce the proposed hybrid intelligent Model called Fuzzy-PID. The model was analyzed in MATLAB/Simulink environment to examine the effectiveness of the hybrid system. Simulation was initially conducted considering loop response of pH system in terms of step input without the addition of the proposed intelligent hybrid model, and the step response shows that the system was not able to reach desired pH set value. A PID controller was simulated in a closed control loop of the pH neutralization process and the step response indicated that the desired pH value was achieved. But the PID control system showed some degree of instability uncertainties. The Fuzzy-PID was implemented as part of the component of the closed loop pH control system and the step response obtained revealed that an improved performance was obtained and the system attained the desired pH value with no instability. The process was modeled in MATLAB/Simulink environment to examine the effectiveness of the hybrid system. The application was developed using JAVA, and Netbean. The work adopted Object Oriented Methodology in the development of the application. Simulation was initially conducted considering loop response of pH system in terms of step input without the addition of the proposed intelligent model. In order to validate the effectiveness of the proposed system, simulations were conducted in acid, neutral and base media with pH setpoint target of 5, 7 and 9 respectively on settling time, rising and overshoot as well the error performance analysis with Integral Absolute Error (IAE), Integral Square Error (ISE) and Integral Time Absolute Error (ITAE). It was observed that less error performance indices were offered by the hybrid model (FPID) control pH neutralization process compared to PID controller in various media –acid, neutral and base. However, the results obtained showed that the proposed hybrid system was able to maintain the setpoint pH values in the various media than individual model,.