Direct torque control and dynamic performance of induction motor using fractional order fuzzy logic controller

Abstract

<p><span lang="EN-US">Conventional direct torque control (DTC) is one of the best control systems for regulating the torque of an induction motor (IM). However, the DTC’s enormous waves in flux and torque cause acoustic noise that degrades control performance, especially at low speeds due to the DTC’s low switching frequency. Direct torque control systems, which focus just on torque and flux, have been proposed as a solution to these problems. In order to improve DTC control performance, this work introduces a fractional-order fuzzy logic controller method. The objective is to analyze this technique critically with regard to its efficacy in reducing ripple, its tracking speed, its switching loss, its algorithm complexity, and its sensitivity to its parameters. Simulation in MATLAB/Simulink verifies the anticipated control approach’s performance.</span></p>

Modeling and control of a high-quality electro-hydraulic actuator driven via an induction motor under intelligent indirect vector control

“…It has been discovered that using the aforementioned slip angular speed command to make field orientation would result in perfect decoupling. The constant rotor flux 𝜓 𝑟 and 𝑑𝜓 𝑟 /𝑑𝑡 = 0 can be used in place of (19), causing the rotor flux to be set as in Equation ( 21):…”

“…The PI regulator can be replaced with an intelligent controller based on fuzzy logic to solve this issue [17,18]. Compared to traditional controllers, the fuzzy logic controller (FLC) offers a few benefits, such as easy control, low cost, and the ability to build without knowing the precise mathematical model of the plant [19]. One of the good features of fuzzy controllers over traditional PI controllers in driving IMs is that they reach the final response and steady-state conditions [20].…”

Modeling and Control of a High-Quality Electro-hydraulic Actuator Driven by an Induction Motor under Intelligent Indirect Vector Control

“…It has been discovered that using the aforementioned slip angular speed command to make field orientation would result in perfect decoupling. The constant rotor flux 𝜓 𝑟 and 𝑑𝜓 𝑟 𝑑𝑡 = 0 can be used in place of (19), causing the rotor flux to be set as:…”

“…The PI regulator can be replaced with an intelligent controller based on fuzzy logic to solve this issue [17,18]. When compared to traditional controllers, the fuzzy logic controller (FLC) offers a few benefits, such as easy control, low cost, and the ability to build without knowing the precise mathematical model of the plant [19]. One of the good features of fuzzy controllers over traditional PI controllers in driving IMs is that they reach quicker to the final response and steady-state conditions [20].…”

Transient response mitigation using type-2 fuzzy controller optimized by grey wolf optimizer in converter high voltage direct current

“…The ANFIS scheme is built to regulate an inverter of HVDC [25], to stabilize a 3-bus power system (PS) [26], with the help of an IT2Fbased power system stabilizer used to stabilize large scale PS [27]. The fuzzy and fuzzy-based direct torque control is implemented to maintain the dynamic performance of solar panels on the variation of radiation and temperature [24], and to reduce ripple induction motor [28], respectively. The IT2F based on a model reference controller and IT2F combined with digital signal processing are built to regulate a nonlinear system [29] and to improve the transient response of synchronous motor [30].…”