The Advisor, a Fuzzy Knowledge-Based System for Rapid Instrumentation and Control Using a Taguchi-Based Quality Function: Part II — Implementation

2005 ◽  
Author(s):  
Riko Tantra ◽  
Glenn Y. Masada
Keyword(s):  
Optimal Solution ◽  
User Preferences ◽  
Brushless Dc Motor ◽  
Quality Function ◽  
Brushless Dc ◽  
Knowledge Based ◽  
Application Requirements ◽  
And Control ◽  
Motor Failure ◽  
Better Than

Part II of this paper describes the implementation of The Advisor in selecting a load motor system for a motor failure design project. Specifically, the Motor Advisor is used to select a load motor, motor driver and motor controller for an accelerated brushless DC motor platform design. The optimal solution from the Motor Advisor is compared with and is shown to be better than equipment previously selected for that application. The ranked solutions show good tradeoffs between application requirements and user preferences as a result of using the new Quality Function described in Part I.

The Advisor, a Fuzzy Knowledge-Based System for Rapid Instrumentation and Control Using a Taguchi-Based Quality Function: Part I — Theory

2005 ◽  
Author(s):  
Riko Tantra ◽  
Glenn Y. Masada
Keyword(s):  
Selection Process ◽  
User Preferences ◽  
Fuzzy Decision Making ◽  
Quality Function ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Feasible Solutions ◽  
And Control ◽  
Selection Of ◽  
Fuzzy Knowledge

A fuzzy knowledge-based software system, called The Advisor, is developed for mechanical designers to rapidly select instrumentation and control system solutions. Its knowledge-based system uses application constraints to select feasible solutions, and its fuzzy logic algorithms rank those solutions based upon user preferences. A new Quality Function, inspired by the Taguchi Quality Function, is proposed to combine quantitative and linguistic information in the fuzzy decision-making inference engine to better capture human tradeoff behavior in the equipment selection process. To date, a Motor Advisor and a Temperature Sensor Advisor have been developed and successfully tested. Part I of this paper presents the theory and methodology of The Advisor, its component algorithms to support the selection of motor systems, and the implementation of the new Quality Function in the Motor Advisor. Part II tests The Advisor in the selection of a load motor, motor driver, and motor controller in a motor failure design project.

scholarly journals Review on Basic Components of E-Kart

2022 ◽  
Vol 10 (1) ◽  
pp. 342-345
Author(s):  
Prof. Mayur Shelke
Keyword(s):  
Energy Flow ◽  
Lithium Ion ◽  
International Standards ◽  
Brushless Dc Motor ◽  
Frame Design ◽  
Brushless Dc ◽  
Hazardous Gases ◽  
The Stability ◽  
And Control ◽  
Motor Controls

Abstract: This review paper presents the design and development of an E-kart. The moto behind making this Electric-kart is to lower the number of pollutants and hazardous gases such as carbon monoxide, hydrocarbons, nitrogen oxide, etc. These types of gases are produced in an immense amount from vehicles. Therefore, we decided to make a vehicle that works efficiently on an electric motor and controller. We have used BLDC (brushless dc motor) motor which is powered by direct current and voltage. Motor control the motor controls the energy flow to the motor processes like throttle, brake, and control switches are connected to controller commands from these inputs i.e. Throttle, brake, etc., and control very precisely torque, speed, direction on and horsepower of the vehicle. The battery we used is a rechargeable lithium-ion battery. The main focus during the frame design was the stability of the E-kart and the safety of the driver. We also surveyed the market on chassis material, motor, brake, controller, and transmission system for cost and availability. International standards were followed during the whole project.

Stabilization and Control of an Autonomous Quadcopter

2014 ◽  
Vol 666 ◽  
pp. 161-165
Author(s):  
Yashaan Nari Cooper ◽  
R.K. Ganesh Ram ◽  
V. Kalaichelvi ◽  
Vishank Bhatia
Keyword(s):  
Degrees Of Freedom ◽  
Brushless Dc Motor ◽  
Peak Time ◽  
Simulation Studies ◽  
Proportional Integral Derivative ◽  
Motor Speed ◽  
Proportional Integral Derivative Controller ◽  
Brushless Dc ◽  
Design And Implementation ◽  
And Control

A Quadcopter is a helicopter which has four equally spaced rotors, usually arranged at the corners of a square body. Due to four independent rotors, the need for a swashplate mechanism is palliated. The swashplate mechanism was required to allow the helicopter to utilize more degrees of freedom, but the same level of control could be obtained by adding two more rotors. The development of Quadcopter was stalled until very recently, because controlling four independent rotors was proven to be incredibly difficult and impossible without electronic assistance which has made even completely autonomous control of quadcopters feasible for commercial, military, and even hobbyist purposes. The paper offers dynamic simulation of brushless DC motor speed control used in a quadcopter and also focuses on design and implementation of PID (Proportional-Integral-Derivative) controller through simulation for proper controlling of altitude roll and pitch in a quadcopter. The effectiveness of proposed controller can be analyzed by considering the performances of peak time, settling time and overshoots for various set point changes in the throttle movements. All simulation studies have been carried out using the MATLAB software.

The Composite Method of Torque Ripple Restraining in Brushless DC Motor

2013 ◽  
Vol 385-386 ◽  
pp. 1171-1174
Author(s):  
Hai Peng Pan ◽  
Jun Jie Gu ◽  
Min Ming Gu
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Torque Ripple ◽  
Dc Motor ◽  
Physical Structure ◽  
Brushless Dc Motor ◽  
Current Compensation ◽  
Brushless Dc ◽  
The Mathematical Model ◽  
Better Than

Brushless DC motor generates parasitic torque ripple owing to its physical structure. The consequences deteriorate the performance of the drive in demanding applications. The mathematical model is analyzed. A fast toque control system employed which combines the current compensation and PWM_ON_PWM modulation. The effectiveness of the adaptive torque ripple compensation is demonstrated by experiments which is better than its using PWM_ON_PWM alone.

Application and Control of Brushless DC Motor for Electric Vehicle

2013 ◽  
Vol 724-725 ◽  
pp. 1398-1401
Author(s):  
Da Fang Wang ◽  
De Ming Bu ◽  
Cheng Zhu ◽  
Chuan Wei Zhou
Keyword(s):  
Electric Vehicle ◽  
High Efficiency ◽  
Torque Ripple ◽  
Dc Motor ◽  
Drive System ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Power Drive ◽  
Basic Power ◽  
And Control

Brushless DC motor has simple structure, great power density, torque output and high efficiency. It has a broad application prospect for electric vehicle. The conventional scheme of BLDCM drive system adopts motor ontology, power drive circuits and position sensor. BLDCM is usually used with the mode of 3-phase 6-state PWM. Due to its structure and commutation strategy, it has many problems to be solved if works on electric vehicle. The basic operating principle of Brushless DC motor and the basic power drive system was discussed. In addition, investigated the torque ripple, flux-weakening speed control and brake energy regeneration for electric vehicle. Solving these problems can promote BLDCM and electric vehicle industry.

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