An introduction to fuzzy control
An introduction to fuzzy control
A PID type fuzzy controller with self-tuning scaling factors
Fuzzy Sets and Systems
Design of Fractional PID Control via Hybrid of Electromagnetism-Like and Genetic Algorithms
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 02
Design of fractional-order PIλDµ controllers with an improved differential evolution
Engineering Applications of Artificial Intelligence
Functional Fractional Calculus for System Identification and Controls
Functional Fractional Calculus for System Identification and Controls
Damping Inter Area Oscillations of Power Systems by a Fractional Order PID Controller
ICEET '09 Proceedings of the 2009 International Conference on Energy and Environment Technology - Volume 02
Design of an optimal fractional-order PID controller using multi-objective GA optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
Fractional-order PID controller optimization via improved electromagnetism-like algorithm
Expert Systems with Applications: An International Journal
Variable-order fractional derivatives and their numerical approximations
Signal Processing
Studies on fractional order differentiators and integrators: A survey
Signal Processing
Fuzzy reasoning in fractional-order PD controllers
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Fractional Fuzzy Adaptive Sliding-Mode Control of a 2-DOF Direct-Drive Robot Arm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
New methodology for analytical and optimal design of fuzzy PID controllers
IEEE Transactions on Fuzzy Systems
Engineering Applications of Artificial Intelligence
Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator
Expert Systems with Applications: An International Journal
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A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional derivative as the input and has a fractional integrator in its output. The fractional order differ-integrations in the proposed fuzzy logic controller (FLC) are kept as design variables along with the input-output scaling factors (SF) and are optimized with Genetic Algorithm (GA) while minimizing several integral error indices along with the control signal as the objective function. Simulations studies are carried out to control a delayed nonlinear process and an open loop unstable process with time delay. The closed loop performances and controller efforts in each case are compared with conventional PID, fuzzy PID and PI^@lD^@m controller subjected to different integral performance indices. Simulation results show that the proposed fractional order fuzzy PID controller outperforms the others in most cases.