Tracking control of a manipulator under uncertainty by FUZZY P+ID controller
Fuzzy Sets and Systems
Autotuning a PID controller: a fuzzy-genetic approach
Journal of Systems Architecture: the EUROMICRO Journal - Special issue on evolutionary computing
Design of an enhanced hybrid fuzzy P+ID controller for a mechanicalmanipulator
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
New design and stability analysis of fuzzy proportional-derivative control systems
IEEE Transactions on Fuzzy Systems
Fuzzy PID control of induction motor speed regulating system based on PLC
International Journal of Wireless and Mobile Computing
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The application of intelligent systems along with conventional control theories has been widely presented in the recent literature to understand and compensate for the non-linearity exhibited by complex systems. An adaptive fuzzy-PID controller is proposed to precisely control the speed of an ultrasonic piezoelectric motor (PEM) at various operating conditions. The implemented controller shows an enhanced performance over the classical controllers for both transient and steady-state responses. The system variables are determined based on self-tuned formulas that have an adaptive capability to handle non-linearity and parameter uncertainties in PEM at diverse working conditions. Practical and simulated results are provided to validate the performance of the proposed methodology.