Model Of DC Motor Research Articles

The Design of PID Controller of Turntable Based on BP Neural Network

As the parameters of traditional PID are fixed, the application areas are limited. With its research focus on the servo control system of the three-axis flight motion simulator table and the mathematical model of the brushless DC motor which is used as the drive mechanisms of the heading turntable. Put forward the traditional PID control arithmetic and NN PID control way arithmetic based on model forecast. MATLAB simulation is conducted to test stepping and sine input signals. The test results show that NN PID control way arithmetic is better than traditional PID control arithmetic and it is important to enhance the efficiency of flying simulator contro1．

Designing a Fuzzy PID Controller for Brushless DC Motor

Based on the mathematical model of the brushless DC motor (BLDCM), a self-adaptive fuzzy PID controller is designed to achieve high-precision speed control of motor by adopting fuzzy control principle, simulation is conducted in MATLAB /SIMULINK, the result shows that the controller can work well with quick response, no overshoot output and high control precision, has strong robustness under the circumstances of various disturbances and parameter variations, whose static and dynamic performance with the self-adaptive fuzzy PID control are both better than conventional PID control.

Model-Based Fault-Diagnosis of Electronic Throttle System

The designed electronic throttle control systems are able to diagnose faults, which affects the proper performance of the system. In this study, a fault-diagnosis algorithm of electronic throttle system based on parameter estimation is presented, using a simplified version of the DC motor model so as to minimize the relevant computation. By means of the Butterworth digital filtering state equation, the signal’s filtering value as well as its first-order and second-order derivatives are obtained. Thus, the operational precision is improved and the error influence from derivative discretization is avoided. The experimental results are consistent with the proposed algorithm employed in fault analysis.

A Derivative-Free Kalman Filtering Approach to State Estimation-Based Control of Nonlinear Systems

For nonlinear systems, subject to Gaussian noise, the extended Kalman filter (EKF) is frequently applied for estimating the system's state vector from output measurements. The EFK is based on linearization of the systems' dynamics using a first-order Taylor expansion. Although EKF is efficient in several problems, it is characterized by cumulative errors due to the gradient-based linearization it performs, and this may affect the accuracy of the state estimation or even risk the stability of the state estimation-based control loop. To overcome the flaws of EKF, it has been proposed to use the unscented Kalman filter (UKF) as a method for nonlinear state estimation, which does not introduce linearization errors. Aiming also at finding more efficient implementations of nonlinear Kalman filtering, this paper introduces a derivative-free Kalman filtering approach, which is suitable for state estimation-based control of a class of nonlinear systems. The considered systems are first subject to a linearization transformation, and next state estimation is performed by applying the standard Kalman filter to the linearized model. Unlike EKF, the proposed method provides estimates of the state vector of the nonlinear system without the need for derivatives and Jacobians calculation and without using linearization approximations. The proposed derivative-free Kalman filtering approach has been compared to EKF and UKF in the case of state estimation-based control for a nonlinear DC motor model.

The New Measurement and Calculation Method for Dynamic Parameters of DC Motor Based on dSPACE System

To investigate the accuracy of modeling DC motor, the platform for measurement and calculation dynamic parameters is built by the Hardware-In-the-Loop(HIL) method based on dSPACE system. The running state of DC motor has to be changed with adjustment of PWM duty-cycle using ControlDesk software. Having got measurement and calculation parameters value of DC motor, we compare the test results with simulation value using the model of DC motor with cascade control in Matlab/Simulink software according to the classical mathematical model. It confirms the established model of DC motor accurately and reliability using new parameters, which provides the basis of more complex control algorithms and also indicates that the feasibility and generalization application value of measurement and calculation method for DC motor.

Simplified Modeling, Analysis and Simulation of Permanent Magnet Brushless Direct Current Motors for Sensorless Operation

Problem statement: In this study, a simplified modeling and experimental analysis of Permanent Magnet Brushless DC (PMBLDC) motors for Sensorless operation using MATLAB/SIMULINK. This model provides a mechanism for monitoring and controlling the voltage, current, speed and torque response. Approach: BLDC motor is modeled as sub-blocks. The inverter and switching function are implemented as S-function builder block. The Sensorless scheme employs direct back emf based zero crossing detection technique. Results: The proposed model with Sensorless control technique with back emf zero crossing detection is tested in the BLDC Motor and the performance was evaluated. The simulated and experimental results show that the proposed modeling works quite well during starting and running conditions. Conclusion/Recommendation: The developed model consists of several independent sub-blocks, that can be used in the modeling of Permanent Magnet Sinusoidal Motor and induction motor. Hence the developed simulation model is a design tool to study the dynamic behavior of Sensorless Controlled Brushless DC Motor.

Robustness Analysis & Design for the Driver of the DC Motor

Abstract.For the control unit in a control system, under a certain type of perturbations, including the disturbance of its own model, the property that system maintains certain performance parameter to designed index is defined as robustness. A designed system is robust when its response does not dissatisfy design requirements under model parameter variations.In practical application, it is not unusual that some parameters of system model are not precisely known. Such parameter is defined as uncertain parameter, because its value varies within a given range, even though its nominal value and variation range are known.In this article, in order to design a robust control system, MATLAB is utilized to perform robustness analysis by establishing an uncertainty model of DC motor.

Application of Fuzzy PI Control to Speed Control System of Brushless DC Motor

Basing on analysis the principle and mathematical model of the brushless DC motor, the paper proposes a control model on the basis of speed loop and current loop, fuzzy PI control model is adopted in the speed loop, and traditional PID control model is used in the current loop. It is showed that when the load or parameters vary, comparing to traditional PID control model, the fuzzy PI control model gets less fluctuation and better robustness.

A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines

Currently, for many applications, it is necessary to know the speed and position of motors. This can be achieved using mechanical sensors coupled to the motor shaft or using sensorless techniques. The sensorless techniques in brushed dc motors can be classified into two types: 1) techniques based on the dynamic brushed dc motor model and 2) techniques based on the ripple component of the current. This paper presents a new method, based on the ripple component, for speed and position estimation in brushed dc motors, using support vector machines. The proposed method only measures the current and detects the pulses in this signal. The motor speed is estimated by using the inverse distance between the detected pulses, and the position is estimated by counting all detected pulses. The ability to detect ghost pulses and to discard false pulses is the main advantage of this method over other sensorless methods. The performed tests on two fractional horsepower brushed dc motors indicate that the method works correctly in a wide range of speeds and situations, in which the speed is constant or varies dynamically.

Dynamic Modeling and Acceleration Control of Electric Vehicles

This paper constructs a dynamic model of a four-wheel drive electric vehicle, which contains a vehicle model and a brushless DC motor model. In order to improve the starting and acceleration performance of the electric vehicle, we design a speed and current double closed-loop speed control system based on the constructed dynamic electric vehicle model. The starting and acceleration process of the electric vehicle is simulated and analyzed by CarSim-Matlab/Simulink co-simulation. The effectiveness of the speed control system is evaluated by the co-simulation results. In addition, the robustness of the speed control system is also analyzed for different vehicle masses.

Modelling and Simulation for Industrial DC Motor Using Intelligent Control

This paper presents an overview of Proportional Integral control (PI) and Artificial Intelligent control (AI) algorithms. AI and PI controller are analyzed using Matlab [Simulink] software. The DC motor is an attractive piece of equipment in many industrial applications requiring variable speed and load characteristics due to its ease of controllability. The main objective of this paper illustrates how the speed of the DC motor can be controlled using different controllers. The simulation results demonstrate that the responses of DC motor with an AI control which is Fuzzy Logic Control shows satisfactory well damped control performance. The results shows that Industrial DC Motor model develop using its physical parameters and controlled with an AI controller give better response, it means it can used as a controller to the real time DC Motor

Fuzzy Controller Design for Multi-Legged Robot

In this paper, we propose a mechanical structure for multi-legged robot. Referring the request of control system, we also made a proper choice on driving means. After dynamics analysis on a single leg of the robot, we make a simulation using ADAMS and get how the torque of each joint is changing when the robot is walking. The model of DC motor is established for the control system. Fuzzy PID controller was used to get real-time response and high accuracy of control system.

Efficacy and Safety Testing of a New Biologically Based Design Ankle Foot Orthosis in Healthy Volunteer

The ankle-foot of human body is a multi-joint structure that accommodates complex foot motion. Abnormality to the ankle-foot due to injury or disease can result in abnormal gait motion. In such cases, physiotherapist has to assist hemiplegic patients (ankle dorsiflexor muscles with lack of dorsiflexion assist moment) in rehabilitation therapy by using gait training in parallel bars. Physiotherapist has to support hemiplegic patient to position foot and also supports their stand balance. This prolongs multiple task puts extra burden to physiotherapist which gives side effect such as muscular strain or bone fracture while doing the task. Consequently, the motion of the foot patients did not follow the normal gait pattern. Therefore, there is a need to develop an effective ankle foot orthosis (AFO) to solve the long issue-problem. This research was undertake to embark on the modeling and designing of new ankle foot orthosis (AFO) using active control system which later could be used to help patients with ankle dorsiflexor muscles problem. The work was carried out in four stages involving modeling and simulation of DC motor, algorithm development, design and fabrication of the orthosis and finally, evalaution of the product and its functions. The orthosis was tested on healthy volunteer and the results show that the objective to develop and fabricate a new type of robust ankle foot orthosis which can control movement has been achieved successfully.

A method for identifying otological drill entanglement with a cotton swab

Background: The entanglement of the otological drill with cotton swabs is a common milling fault in ear surgery. To improve operational safety, this paper presents a method for identifying this type of milling fault.Methods: Force and current sensors were installed on a modified otological drill. In accordance with the DC motor model and cutting force model, two features of the milling process were extracted, namely the characteristic curve and the dynamic relationship between the sensor signals. These are complementary features. An adaptive filter was designed to fuse them together and output a curve that was sensitive to milling faults and was stable during normal milling. Based on the filtering data, a rule base is presented for identifying cotton swab entanglement.Results: Five surgeons were invited to perform an experiment on calvarian bones. The average recognition rate for milling faults was 90%, whereas only 2% of normal millings were identified as milling faults.Conclusions: The presented method could adapt to the technique of different surgeons and identify milling faults exactly.

Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID

According to the mathematical model of brushless DC motor (BLDCM), control equations of BLDCM speed control system and simulation model were established for steering control device in electric pallet truck based on transfer function in Matlab/Simulink. The fuzzy adaptive PID control method was introduced to speed control system, and it can realize PID parameter’s online adjustment. Simulation result shows that the designed speed controller based on fuzzy adaptive PID has better dynamic and static performance than the controller based on traditional PID, and the control accuracy is also greatly improved.

Variable Structure Control of the Brushless DC Motor

In order to increase the degree of the angular velocity tracking precision of the brushless DC motors control system, the controller is designed using the variable structure control with sliding mode. The mathematical model of the brushless DC motors is built. The sliding mode function includes tracking error and the differential coefficient of the tracking error. In order to alleviate the chattering, the saturation function replaces the sign function. The simulation result show the tracking precision is high and the controller output has not obvious chattering. The controller meets the tracking precision of he brushless DC motors control system.

EXPERIMENTAL SET UP VERIFICATION OF SERVO DC MOTOR POSITION CONTROL BASED ON INTEGRAL SLIDING MODE APPROACH

Abs tract:- In this paper, a novel controller based on the Integral Sliding Mode Controller (ISMC) is proposed and designed for controlling DC motor in a servo drive. The modeling and analysis of the servo DC motor are obtained. To improve the controller performance in steady state (zero error), the integral sliding mode controller (ISMC) is designed and evaluated. Since the main drawback of SMC is a phenomenon, that called chattering resulting from discontinuous controllers. An ISMC with switched gains is used for chattering reduction and controller robustness. For comparison, the proposed ISMC with switched gains is compared with that of a PID controller. Experimental verification and simulations have been carried out in order to validate the effectiveness of the proposed scheme. The proposed controller offers very good tracking, also it is highly robust and controlled plant reached very fast to the final position. Furthermore the application of the SM ensures reduction of the system order by one. Also, quick recovery from matched disturbance in addition to good tracking. Moreover, this scheme is robust against the parameters variations.

Research on Brushless DC Motor Speed Control System Based on Passivity-Based Control

Because the nonlinear and strong coupling characteristics of brushless DC motor, the classical PI controller can not control it easily. In order to solve the control problem of brushless DC motor, an improved control method is proposed which based on passivity-based control technology. According to a model of brushless DC motor (BLDCM) that based on Euler －Lagrange (EL) equation, designed a passivity-based controller. The simulation result shows that，compared with the PI controller，this method can not only improve the dynamic response property and anti-jamming ability of the system, but also get a better speed-adjustability.

A method for identifying otological drill milling through bone tissue wall

Otological drill milling through the bone tissue wall is a common milling fault in ear surgery. This paper presents a method for identifying milling faults and improving operation safety. Force and current sensors are used. According to a DC motor model and a cutting force model, the features of the milling process were analysed and a dynamic model was established. The dynamic model could extract the characteristic curve of a milling fault and the phase difference between the current and force signals. An adaptive filter was designed to fuse the phase and amplitude of signals to suppress interference in the characteristic curve. According to the filtering result, milling states can be identified by a rule base. Five surgeons carried out experiments on calvarian bone. The average recognition rate of milling faults was 90%. Only 1% of normal millings were identified as milling faults. This method could be adapted to different surgeons and identify milling faults exactly.

A novel web‐based laboratory for DC motor experiments

AbstractThis article introduces a novel web‐based DC motor laboratory, called NeTRe‐LAB, to support teaching electrical machines. The NeTRe‐LAB includes favorable animations to facilitate understanding characteristics of the DC motor, interactive DC motor models for instructive simulations, and web‐based experiments with online monitoring features. To illustrate the current operations, remote access to an experimental setup of a DC motor has been provided and the speed control of it has been realized over Internet. The evaluation results have shown that the NeTRe‐LAB presented in this study provides encouraging aspects, services, and support system for higher education. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 19: 125–135, 2011