Simple Implementation of a Fuzzy Logic Speed Controller for a PMDC Motor with a Low Cost Arduino Mega

The paper presents the prototype of an autonomous sail-propelled vehicle, powered by sails and equipped with mini solar panels, intended for the surveillance of maritime space. Hardware and software aspects regarding the automation of this unmanned boat are addressed. Conceptual solutions have been identified to ensure short manufacturing times, component accessibility (price and availability on the free market), and high system reliability. The paper proposes an original solution to respond to at least two imperative needs: the safety and security of commercial and military navigation in the Black Sea area (faced with a tense geo-political climate) and the increased need to integrate European and global policies on reducing pollution and promoting renewable energy principles.

Section: A Arduino Unomentioning

confidence: 99%

About the Automation of an Autonomous Sail-propelled Search Drone

Cristea,

Popa,

Manea

et al. 2023

“…Conventional control techniques have been utilized in the speed/torque control of BLDC motor for various applications. Its combination with fuzzy logic improves performance [5,6].…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of the BLDC Motor in EV Drives using Nonlinear Model Predictive Control

Ubare

Sonawane²

2022

In this paper, the Nonlinear Model Predictive Control (NMPC) technique is proposed for the control of BrushLess Direct Current (BLDC) motors to address the problem of over-excitation, specifically in Electric Vehicle (EV) applications. This over-excitation increases the overall energy consumption of the machine and eventually reduces the vehicle’s driving range. The developed NMPC incorporates a nonlinear model of the BLDC motor with EV load and obtains the optimal current through the optimal voltage applied to the machine to regulate the motor torque. The proposed NMPC is compared with three conventional control techniques, the Field-Oriented Control (FOC), the Direct Torque Control (DTC), and the hybrid (the combination of DTC and FOC) control. It is observed from the simulation results that the proposed NMPC controller is more energy efficient while maintaining performance. This paper also discusses the selection of the motor based on the specified vehicle requirements. This has been done by matching the vehicle speed-torque characteristic curve with the motor’s one.

“…Normally, a Proportional Integral (PI) controller is employed for IM speed control for most applications [4,5]. But, the conventional PI controller has some disadvantages: Its accuracy depends on the mathematical model, the system suffers fromnon-linearity, and it is very sensitive to parameter and temperature variations and to load disturbances [6,7].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Fuzzy Logic-based PI Controller for the Speed Control of an Induction Motor using the V/F Method

Mugheri

Keerio

2021

The Induction Motor (IM) is popular because of its low price, higher efficiency, and low maintenance cost. A comparative analysis of IM speed controllers using Voltage/Frequency (V/F) control or Scalar Control (SC) is presented in this paper. SC is commonly used due to its ease of implementation, simplicity, and low cost. To decrease the difficulty and cost of hardware implementation, this paper proposes an optimal Fuzzy Proportional Integral (Fuzzy-PI) controller. Firstly, the speed of IM using the V/F control technique is discussed. Then, speed control of IM using a conventional PI controller is performed. Finally, a simplified-rules Fuzzy-PI controller is developed in MATLAB/SIMULINK and its performance is compared with that of open-loop SC and the traditional PI controller. The performance of the simplified-rules Fuzzy-PI controller is superior to that of an open-loop constant V/F control and a conventional PI controller.