scholarly journals Sensor-less Brushed DC Motor Speed Control with Intelligent Controllers

2021 ◽  
Vol 20 ◽  
pp. 140-148
Author(s):  
Amir Salmaninejad ◽  
Rene V. Mayorga
Keyword(s):  
Closed Loop ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Mechanical Load ◽  
Dc Motor ◽  
Closed Loop Control ◽  
Motor Speed ◽  
Motor Shaft ◽  
Loop Control ◽  
Intelligent Controllers

A Direct Current (DC) Motor is usually supposed to be operated at a desired speed even if the load on the shaft is exposed to changes. One of its applications is in automatic door controllers like elevator automatic door drivers. Initially, to achieve this aim, a closed loop control can be applied. The speed feedback is usually prepared by a sensor (encoder or tachometer) coupled to the motor shaft. Most of these sensors do not always perform well, especially in elevator systems, where high levels of noise, physical tensions of the mobile car, and maintenance technicians walking on the car, make this environment too noisy. This Paper presents a new approach for precise closed loop control of the DC motor speed without a feedback sensor, while the output load is variable. The speed here is estimated by the Back EMF (BEMF) voltage obtained from the armature current. First, it is shown that a PID controller cannot control this process alone, and then intelligent controllers, Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference Systems (ANFIS), assisting PID are applied to control this process. Finally, these controllers’ performance subjected to a variable mechanical load on the motor shaft are compared.

scholarly journals Control of Rotary Cranes Using Fuzzy Logic

2001 ◽  
Author(s):  
Amjed A. Al-mousa ◽  
Ali H. Nayfeh ◽  
Pushkin Kachroo
Keyword(s):  
Fuzzy Logic ◽  
Closed Loop ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Operating Conditions ◽  
Building Construction ◽  
Loop Control ◽  
Industrial Structures ◽  
Inference Engines

Abstract Rotary cranes (tower cranes) are common industrial structures that are used in building construction, factories, and harbors. These cranes are usually operated manually. With the size of these cranes becoming larger and the motion expected to be faster, the process of controlling them became difficult without using automatic control methods. In general, the movement of cranes has no prescribed path. Cranes have to be run under different operating conditions, which makes closed-loop control preferable. In this work a fuzzy logic controller is introduced with the idea of split-horizon; that is, fuzzy inference engines (FIE) are used for tracking the position and others are used for damping the load oscillations. The controller consists of two independent controllers: radial and rotational. Each of these controllers has two fuzzy inference engines (FTEs). Computer simulations are used to verify the performance of the controller. Three simulation cases are introduced: radial, compound, and damping. The results from the simulations show that the fuzzy controller is capable of keeping the load-oscillation angles small throughout the maneuvers while completing them in a relatively reasonable time.

Design of Control System of Brushless DC Motor Based on DSP

2014 ◽  
Vol 496-500 ◽  
pp. 1417-1421 ◽  
Author(s):  
Li Na Duan ◽  
Jin Zhao
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Brushless Dc Motor ◽  
Closed Loop Control ◽  
Signal System ◽  
Motor Speed ◽  
Loop Control ◽  
Brushless Dc ◽  
The Core ◽  
Control Segment

The System is at the core of TMS320F2812DSP from TI company to design the control system for BLDC motor, the control segment of it take advantage of the event manager EVA of the DSP to compare and produce six ways signal control.And utilize the capture module to acquire the state situation of the rotor-position sensor.Acording to the condition of hall sensor to control motor commutation.And solve the PWM signal system in the generation and motor speed feedback.It's easy to realize the motor closed-loop control, greatly simplify the system hardware design, improves the reliability of the system, reduces the volume of the system. Through the experiments,we gain the PWM waveform, and finally realize the purpose of reverse control .

Application of Double Closed-Loop Control to the Steady-State Regulation and Control of Underwater Vehicle

2012 ◽  
Vol 443-444 ◽  
pp. 548-552
Author(s):  
Liang Liu ◽  
Yu Yi Zhai ◽  
Wen Jie Lu ◽  
Huan Xin Luo ◽  
Yu Li
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Speed Control ◽  
Underwater Vehicle ◽  
State Regulation ◽  
Closed Loop Control ◽  
Motor Speed ◽  
Forward Movement ◽  
Underwater Robots ◽  
Loop Control

In this paper, the speed control system controlled by motor speed was designed to control forward speed of underwater robot precisely. Based on the theory of double closed-loop speed control, motor control system was modeled firstly, and then regulator parameters were designed based on the engineering approaches. According to the characteristics of forward movement, the mechanical construction of sub-mini underwater robots and the comparison of various system designs, the double closed-loop regulator parameters of sub-mini underwater robots were obtained. And the propulsion system of sub-mini underwater robots was equipped with speed and current double closed-loop control. All the experimental results showed that within a certain range of motor speed, no static error could be guaranteed and the variable speed of underwater vehicle could be achieved.

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