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Context 1
... the same as all motors, it has two critical parts: the rotor (rotating part) and the stator (stationary part).The stator magnetic circuit is constructed using steel laminations. Which can be either slotted (inner rotor design) or slotless (outer rotor design) [12] as shown in figure 1. The phase windings are wrapped around the stator, arranged in either -star (Y) or delta (Δ) patterns. ...
Context 2
... the same as all motors, it has two critical parts: the rotor (rotating part) and the stator (stationary part).The stator magnetic circuit is constructed using steel laminations. Which can be either slotted (inner rotor design) or slotless (outer rotor design) [12] as shown in figure 1. The phase windings are wrapped around the stator, arranged in either -star (Y) or delta (Δ) patterns. ...
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Citations
... Fuzzy logic, which was first introduced by Lotfi A. Zadeh, has membership degrees in the range 0 (zero) to 1 (one), in contrast to the conventional control system which defines something with true and false categories (1 or 0). Fuzzy logic is not only in the form of a value of 1 or 0, but several values will be output that will be used to process the control system [12]. There were many reasons why people use fuzzy logic, including the concept of fuzzy logic is easy to understand. ...
span lang="EN-US">One of the obstacles in determining the constant of the proportional integral derivative (PID) control system for the stability of the Hexacopter is due to the dynamic response of the system. Changing the speed and direction of the aircraft's motion through the throttle is translated into a control system concept into a set-point change. If you have used PID control, which is constant, cannot adjust to changes in set-points or external influences, the stability and reliability of the aircraft cannot be guaranteed. This study proposes PID control, with adaptable constants, using a fuzzy logic controller (FLC). The influence of internal changes and factors outside the aircraft control system, in principle, will accumulate on the size of the error and delta-error. Thus, FLC performs tuning for the PID constant according to the error and delta-error. The design of fuzzifications and defuzzification is based on the maximum limit value of error and delta-error, and sets the value of the constant obtained by the Ziegler-Nichols method as the default value. After the real-plant test, the system performance is obtained as follows: settling time = 34mS; peak time 21mS; rise time = 9.2 mS; delay time = 5.7mS; percent overshoot and steady state error = 1%.</span
