Abstract
This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The industrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come across frequent load variations and external disturbances. Hence, for the smooth and trouble-free operation of the industrial pressure system, an effective control mechanism could be adopted. The objective of this work is to design an intelligent fuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external disturbances. A novel model of a pilot pressure regulating system is developed to validate the effectiveness of the proposed control scheme. Simulation studies are carried out in a delayed nonlinear pressure regulating system under different operating conditions using fractional-order PID (FOPID) controller with fuzzy online gain tuning mechanism. The results demonstrate the usefulness of the proposed strategy and confirm the performance improvement for the pneumatic pressure system. To highlight the advantages of the proposed scheme a comparative study with conventional PID and FOPID control schemes is made.
Highlights
Pneumatic pressure is one among the vital variables used in industries like power plants, chemical reaction control, pneumatic position servo systems, well drilling, heating, ventilating and air conditioning systems, automobile, and so on
Due to the online gain modification in fractional-order PID (FOPID) control scheme using fuzzy logic, the gain factor of proportional, integral, and derivate terms is updated at each sampling time which makes the controller perform better
From the step input simulation results, one can say that the fuzzy fractional-order PID (FFOPID) controller is more suitable for pneumatic pressure regulating system with dead time
Summary
Pneumatic pressure is one among the vital variables used in industries like power plants, chemical reaction control, pneumatic position servo systems, well drilling, heating, ventilating and air conditioning systems, automobile, and so on. The FO controllers are derived from the integer order by adding the fractional powers in integral and derivative terms. In addition to the proportional (KP), Mathematical Problems in Engineering integral (KI), and derivative (KD) parameters which comprise the integer-order PID, the FOPID controller has two more parameters an integrator order (λ) and a differentiator order (μ). Adding the integral and derivative terms of fractional order will improve system frequency response to be better and leads to design an improved control system [7,8,9,10]. The FOPID control scheme has certain merits whereby it offers five parameters to be tuned This control scheme has its own demerits as it makes the system more complex than the classical one
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