Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi–Sugeno–Kang fuzzy logic autopilots

2019 ◽  
Vol 78 ◽  
pp. 373-392 ◽  
Author(s):  
Edwar Yazid ◽  
Matthew Garratt ◽  
Fendy Santoso
Keyword(s):  
Fuzzy Logic ◽  
Evolutionary Algorithms ◽  
Position Control ◽  
First Order ◽  
Self Tuning ◽  
Takagi Sugeno

scholarly journals Self-tuning Fuzzy Logic Controller Based on Takagi-Sugeno Applied to Induction Motor Drives

2018 ◽  
Vol 9 (4) ◽  
pp. 1967 ◽  
Author(s):  
Nabil Farah ◽  
M. H. N. Talib ◽  
Z. Ibrahim ◽  
J. M. Lazi ◽  
Maaspaliza Azri
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Experimental Testing ◽  
Motor Drives ◽  
Computational Burden ◽  
Response Characteristics ◽  
Speed Error ◽  
Self Tuning ◽  
Takagi Sugeno

<span>Fuzzy logic controller has been the main focus for many researchers and industries in motor drives. The popularity of Fuzzy Logic Controller (FLC) is due to its reliability and ability to handle parameters changes during load or disturbance. Fuzzy logic design can be visualized in two categories, mamdani design or Takagi-Sugeno (TS). Mamdani type can facilitate the design process, however it require high computational burden especially with big number of rules and experimental testing. This paper, develop Self-Tuning (ST) mechanism based on Takagi-Sugeno (TS) fuzzy type. The mechanism tunes the input scaling factor of speed fuzzy control of Induction Motor (IM) drives Based on the speed error and changes of error. A comparison study is done between the standard TS and the ST-TS based on simulations approaches considering different speed operations. Speed response characteristics such as rise time, overshoot, and settling time are compared for ST-TS and TS. It was shown that ST-TS has optimum results compared to the standard TS. The significance of the proposed method is that, optimum computational burden reduction is achieved.</span>

Research on Novel Self-Spinning High Speed On/Off Valve Based on Fuzzy-Logic Parameter Self-Tuning PID Controller

2012 ◽  
Vol 468-471 ◽  
pp. 1448-1452 ◽  
Author(s):  
Jian Chen ◽  
Jian Ping Shu ◽  
Mian Li ◽  
Qi Zhou ◽  
Zhu Ming Su
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Controller ◽  
High Speed ◽  
Position Control ◽  
Open Loop ◽  
Axial Position ◽  
Valve Body ◽  
Loop Control ◽  
Self Tuning

The flow rate of a novel self-spinning high speed hydraulic on/off valve is regulated by changing the relative axial position (the duty cycle) of the valve spool to the nozzles located on the valve body through driving a gerotor pump using brushless direct current motor. The closed loop axial position control system of the valve spool with feedback of the axial displacement of the valve spool has shorter response time, and not more ripple of output pressure than corresponding open loop control system. A fuzzy logic parameter self-tuning PID controller is investigated to overcome nonlinearity of the control system. The simulation results show that the overshoot is decreased greatly than conventional PID controller.

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