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For integrating, non-linear and higher order processes with dead time conventional non-fuzzy controllers usually provide poor performance than Fuzzy Logic Controllers (FLC). We propose a self-tuning fuzzy PI controller (STFPIC) for integrating and non-linear processes with dead time where a non-fuzzy gain modifying factor ?, which is defined on the sign of error and change of error of the controlled...
We propose a self-tuning fuzzy PID controller (STFPIDC) for non-linear and higher-order processes with dead time whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the sign of error and change of error of the controlled variable, and the number of their uniform fuzzy partitions. Performance of the proposed...
Based on the rebuilt of control rule base, a modified type PI-like fuzzy logic controller (FLC) with output scaling factor (SF) self-tuning mechanism is proposed in this paper for application in the switched reluctance motor (SRM) drive system. This paper intends to simplify the construction hierarchy and computational complexity of the controller by trimming the number of fuzzy sets in the membership...
Based on the redevelopment of control rule base, a modified type PI-like fuzzy logic controller with output scaling factor (SF) self-tuning mechanism is proposed and experimentally testified in this paper for application in the switched reluctance motor (SRM) drive system. This paper aims to simplify the structure hierarchy and computational complexity of the controller by reducing the number of fuzzy...
Pendulum, a natural unstable nonlinear system, is a powerful tool to check the control theory and control algorithm. Fuzzy logic can control nonlinear systems that would be difficult or impossible to model mathematically, which opens the door for controlling systems that would normally be deemed unfeasible for automation. Note that if too many inputs and outputs are chosen for a single implementation...
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