5 research outputs found
A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices
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{\lambda}D{\mu} controller subjected to
different integral performance indices. Simulation results show that the
proposed fractional order fuzzy PID controller outperforms the others in most
cases.Comment: 30 pages, 20 figure