Abstract
The objective of this work is to design a fuzzy rule-based set point weighting mechanism for fuzzy PID (FPID) controller so that an overall improved closed-loop performance may be achieved for linear as well as nonlinear process models. Till date, tuning criteria for FPID controllers are not well defined. Trial-and-error approach is primarily adopted and it is quite time-consuming and does not always ensure improved overall closed-loop behaviour. Hence, to ascertain satisfactory closed-loop performance with an initially tuned fuzzy controller, a fuzzy rule-based set point weighting mechanism is reported here. The proposed scheme is capable of providing performance enhancement with instantaneous weighting factor calculated online for each instant based on the latest process operating conditions. The proposed methodology is capable of ascertaining acceptable performances during set point tracking as well as load recovery phases. Efficacy of the proposed scheme is verified for linear as well as nonlinear process models through simulation study along with real-time verification on servo position control in comparison with the others’ reported performance augmentation schemes as well as fuzzy sliding mode control.
Highlights
Controllers with inherent intelligence are found to be recognized as a complementary to the conventional controllers in various industrial closed-loop control applications
Based on the responses and performance indices, it is found that the proposed FSWFPID offers improved set point tracking and good load regulation compared to fuzzy PID (FPID), self-tuning fuzzy PID (STFPID), dynamic set point weighting fuzzy PID (DSWFPID) and fuzzy sliding mode controllers (FSMC) even in the presence of parametric uncertainties
From the listed values of performance indices, it is quite evident that the proposed FSWFPID is capable of restricting the initial overshoot and the load recovery is relatively faster than FPID, STFPID and DSWFPID with superior control effort
Summary
Controllers with inherent intelligence are found to be recognized as a complementary to the conventional controllers in various industrial closed-loop control applications. To ensure acceptable performance during transient phases, fuzzy logic-based set point weighting with conventional PID controller is proposed by Visioli [18] where the weighting factor for the proportional term is calculated with the help of fuzzy rules. Later, another effective weighting strategy known as dynamic set point weighting (DSW) for PID controllers is reported in [19, 20] where the weighting factor is varied depending on the current process operating conditions and capable of providing an overall performance enhancement.
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