Design of Intelligent Control of DC Motor

2013 ◽  
Vol 313-314 ◽  
pp. 427-431 ◽  
Author(s):  
Gao Jian Li

This paper introduces a DSP-based intelligent control of DC motor system, describes the intelligent control strategy of the DC motor, optical isolators driving ,related protection measures and the hardware and software design. The experimental results show that the control system can reduce the transient process such as over-voltage, inrush current of the switching operation etc. Comparing with the existing analog control circuit, its structure is simple, easy to operate and can improve electrical energy quality.

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Eduardo Hernández-Márquez ◽  
Carlos Avila-Rea ◽  
José García-Sánchez ◽  
Ramón Silva-Ortigoza ◽  
Gilberto Silva-Ortigoza ◽  
...  

This paper has two aims. The first is to develop a robust hierarchical tracking controller for the DC/DC Buck-Boost–inverter–DC motor system. This controller considers a high level control for the inverter–DC motor subsystems and a low level control for the DC/DC Buck-Boost converter subsystem. Such controls solve the tracking task associated with the angular velocity of the motor shaft and the output voltage of the converter, respectively, via the differential flatness approach. The second aim is to present a comparison of the robust hierarchical controller to a passive controller. This, with the purpose of showing that performance achieved with the hierarchical controller proposed in this paper, is better than the one achieved with the passive controller. Both controllers are experimentally implemented on a prototype of the DC/DC Buck-Boost–inverter–DC motor system by using Matlab-Simulink along with the DS1104 board from dSPACE. According to experimental results, the proposal in the present paper achieves a better performance than the passive controller.


Author(s):  
Didia Carrillo-Hernández ◽  
Yered Uriel Terrones-Lara ◽  
Heraclio García-Cervantes ◽  
Alan David Blanco-Miranda

Currently in the country there are more than 27 thousand cases of annual amputations and more than 80% correspond to lower limbs, therefore, the demand for prosthetic equipment is greater than what the health sector institutions can provide. It should be noted that the equipment developed by these institutions is only passive equipment, so that only 10% of patients who receive a prosthetic equipment successfully complete their rehabilitation. The main problems that the patient faces when adapting to their prosthetic equipment is the response time and alignment vs the healthy limb, since it does not have an intelligent control system that allows them to respond in real time as the losted limb did. This causes gaps when performing your gait cycle, this over time can bring about abnormalities in your posture affecting the alignment of your motor system. This work allows us to analyze the range of motion of the ankles and knees, in addition to determining the angular velocity of both, it is essential information for the development of control systems necessary for active prosthetic equipment. The programming language where it was developed is the Python 3.7 software and additionally reproduce the simulation of the gait cycle.


The operation of high-power industrial electrical installations, particularly in metallurgy and the oil and gas industry, is associated with complex technological processes that require increased attention to the equipment used, as such equipment is used in complex and dangerous production conditions and in continuous operation facilities. High-voltage air and gas compressors are objects with increased electrical energy consumption and have significant starting currents. These circumstances affect both the shape of the supply voltage and the state of the energy system in general. Currently, the development of methods for limiting inrush currents is an urgent task for objects used in industrial enterprises. Introducing a compressor into the technological process is sometimes requires prior coordination of its start with the equipment in operation, especially that with a high power consumption. The paper studies the existing control system as well as ways to upgrade the system to improve its energy performance.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 31486-31492 ◽  
Author(s):  
Eduardo Hernandez-Marquez ◽  
Ramon Silva-Ortigoza ◽  
Jose Rafael Garcia-Sanchez ◽  
Mariana Marcelino-Aranda ◽  
Griselda Saldana-Gonzalez

2021 ◽  
Vol 2 (2) ◽  
pp. 60-68
Author(s):  
N. N. A. Rahman ◽  
N. M. Yahya

Mathematical model has been proposed for some system that involves a brushed DC motor and it is widely used in industry. Brushed DC motor ideals for applications with a low- torque, manage to change pace or speed and it is widely used in many applications such as x-y table positioning system, conveyor systems and other system that required to use the features that brushed DC motor have. Mathematical model of brushed DC motor in order to verify the performance of the DC motor. In this paper, mathematical model of brushed DC motor will be derived from a brushed DC motor circuit that consist of two parts that are electrical and mechanical part. To validate the functionality of mathematical model, the performance of the brushed DC motor without any controller will be compared with the brushed DC motor with the presence of PI-PD controller that will be tuned by trial-and-error method. Performances of both brushed DC motor with and without controller will be compared in terms of transient response which are, rise time, Tr, settling time, Ts, steady state error, ess and lastly percentage overshoot. At the end of the study, the brushed DC motor with PI-PD controller show a better performance compared to the brushed DC motor without any controller.


2020 ◽  
Vol 7 ◽  
Author(s):  
Zachary Yoder ◽  
Nicholas Kellaris ◽  
Christina Chase-Markopoulou ◽  
Devon Ricken ◽  
Shane K. Mitchell ◽  
...  

Current designs of powered prosthetic limbs are limited by the nearly exclusive use of DC motor technology. Soft actuators promise new design freedom to create prosthetic limbs which more closely mimic intact neuromuscular systems and improve the capabilities of prosthetic users. This work evaluates the performance of a hydraulically amplified self-healing electrostatic (HASEL) soft actuator for use in a prosthetic hand. We compare a linearly-contracting HASEL actuator, termed a Peano-HASEL, to an existing actuator (DC motor) when driving a prosthetic finger like those utilized in multi-functional prosthetic hands. A kinematic model of the prosthetic finger is developed and validated, and is used to customize a prosthetic finger that is tuned to complement the force-strain characteristics of the Peano-HASEL actuators. An analytical model is used to inform the design of an improved Peano-HASEL actuator with the goal of increasing the fingertip pinch force of the prosthetic finger. When compared to a weight-matched DC motor actuator, the Peano-HASEL and custom finger is 10.6 times faster, has 11.1 times higher bandwidth, and consumes 8.7 times less electrical energy to grasp. It reaches 91% of the maximum range of motion of the original finger. However, the DC motor actuator produces 10 times the fingertip force at a relevant grip position. In this body of work, we present ways to further increase the force output of the Peano-HASEL driven prosthetic finger system, and discuss the significance of the unique properties of Peano-HASELs when applied to the field of upper-limb prosthetic design. This approach toward clinically-relevant actuator performance paired with a substantially different form-factor compared to DC motors presents new opportunities to advance the field of prosthetic limb design.


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