Abstract
Proportional Integral Derivative, PID control is one of the earlier control strategies and most widely used controller for industries. A nonlinear technique, Mamdani structure was used for the bioreactor Simulink model. The fuzzy logic and its structure of the controller were adopted to set the fuzzy logic input member function. The fuzzy logic controller automatically tuned the PID controller, using an existing complex mapping function to generate the suitable values for the bioreactor process plant.
Highlights
The bioreactor is the heart of any biochemical process in which enzymes, microbial, mammalian, or plant cell systems are used for manufacture of a wide range of useful biological products [1]
In industrial and process control systems, a large variety of plants can be approximately modeled by First Order Plus Dead time (FOPDT) [10]: G(s)
Fuzzy Logic PID controller was used in tuning the bioreactor model and the results are shown in the Table IV and its response in Fig. 7; Fig. 4
Summary
The bioreactor is the heart of any biochemical process in which enzymes, microbial, mammalian, or plant cell systems are used for manufacture of a wide range of useful biological products [1]. Cohen-Coon method is one of the several ways in determining the values to be used for proportional, integral and differential parameters in controllers It is another version of Ziegler-Nichols PID tuning method. The Self-tuning fuzzy PID controller, which takes error "e" and rate of change-in-error "ė" as the input to the controller makes use of the fuzzy control rules to modify PID parameters on-line. The self-tuning of the PID controller refers to finding the fuzzy relationship between the three parameters of PID, Kp, Ki, and Kd and "e" and "ė", and according to the principle of fuzzy control modifying the three parameters in order to meet different requirements for control parameters when "e" and "ė" are different and making the control object produce a good dynamic and static performance [8]. Tuning of the controller can start using the basic rules that relate each parameter to the response characteristics
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