Fruit fly optimization algorithm based fractional order fuzzy-PID controller for electronic throttle

With the aim to improve working performance of magnetorheological fluids (MRF) brake, a combined braking approach is proposed in this paper. A data acquisition system of MRF brake is designed and transfer function is identiﬁed for the device. Furthermore, based on the excitation current-extrusion pressure combined braking system, a fuzzy controller is designed to distribute the target torque. Moreover, through integration of fruit fly optimization algorithm (FOA) and particle swarm optimization algorithm (PSOA), an improved proportional-integral-differential (PID) controller is presented to conduct braking mechanism. Finally, the simulations and experiments are carried out. The results show that the combined braking approach with fuzzy controller and improved PID controller has characteristics of quick response and no overshoot, and superior to conventional PID and FOA PID controller.

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Tuning of Novel Fractional Order Fuzzy PID Controller for Automatic Voltage Regulator using Grasshopper Optimization Algorithm

Majlesi Journal of Electrical Engineering ◽

10.52547/mjee.15.2.39 ◽

2021 ◽

Vol 15 (2) ◽

pp. 39-45

Author(s):

Mohammad Ali Labbaf Khaniki ◽

Mohammad Behzad Hadi ◽

Mohammad Manthouri

Keyword(s):

Fractional Order ◽

Optimization Algorithm ◽

Pid Controller ◽

Voltage Regulator ◽

Fuzzy Pid ◽

Fuzzy Pid Controller ◽

Automatic Voltage Regulator ◽

Grasshopper Optimization Algorithm ◽

Grasshopper Optimization

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Automatic Generation Control of Multi-Area Solar-Thermal Power System Using Fruit-Fly Optimization Algorithm

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.5.20009 ◽

2018 ◽

Vol 7 (4.5) ◽

pp. 56

Author(s):

B. V.S.Acharyulu ◽

P. K.Hota ◽

Banaja Mohanty

Keyword(s):

Optimization Algorithm ◽

Pid Controller ◽

Thermal Power ◽

Fruit Fly ◽

Automatic Generation ◽

Automatic Generation Control ◽

Fruit Fly Optimization Algorithm ◽

Fruit Fly Optimization ◽

Solar Thermal Power ◽

Generation Control

In this paper, fruit-fly optimization algorithm (FOA) is applied to automatic generation control (AGC) of multi-area power systems. In the proposed three-area system, reheat thermal systems are considered in all areas incorporating solar thermal power plant (STPP) in one of the areas. The optimum gain of proportional-integral-derivative (PID) controller is optimized applying FOA technique. The strength of FOA is established by comparing the results with well-established Grey Wolf optimizer (GWO) technique for the same interconnected power system. The performances of the system with FOA technique are found to be better than GWO algorithm for both with and without incorporating STPP in area-1. Further, from the sensitivity analysis, it is evident that the PID controller gains obtained by FOA technique under normal conditions are found to be better even for large changes in slip and system load conditions.

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