Development of Brushless D.C. Motor Drive System for Teaching Purposes Using Various PWM Control Techniques

2012 ◽  
Vol 49 (3) ◽  
pp. 210-231 ◽  
Author(s):  
Nadia Tadrist ◽  
Houcine Zeroug ◽  
Boussad Boukais

In this paper, a test bench was developed for teaching purposes to enhance power electronics and real time control of a brushless d.c. motor. Particular emphasis was placed on PWM techniques and theoretical signal generation using a MATLAB/Simulink environment and experimentally with a DSP programming kit. First, a model was developed in MATLAB/Simulink derived from electrical and mechanical equations for the 120° mode. The control strategies implemented involved two PWM techniques, namely soft and hard switching. The system was built in such a way that students are able to carry out modelling and confirm their results through the test bench using these techniques. The approach used has been effective in generating student satisfaction. Improvements in student learning are evident with regard to the drive control applications, either as a variable speed drive or in embedded systems.

2003 ◽  
Vol 125 (2) ◽  
pp. 205-214 ◽  
Author(s):  
Saghir Munir ◽  
Wayne J. Book

This article focuses on Internet-based real time control, such as remote bilateral teleoperation. In such applications, it is required that the control loop be closed through a time delayed network. This paper focuses on two control strategies (based on wave variables and a time forward observer), bandwidth issues, and some related programming details. Experimental results of bilateral teleoperation via the Internet between Atlanta and Tokyo are given. The system used is a two-degree-of-freedom haptic interface, bilaterally coupled to a simulation (implemented on a windows NT based computer) of a similar system.


1997 ◽  
Vol 36 (8-9) ◽  
pp. 331-336 ◽  
Author(s):  
Gabriela Weinreich ◽  
Wolfgang Schilling ◽  
Ane Birkely ◽  
Tallak Moland

This paper presents results from an application of a newly developed simulation tool for pollution based real time control (PBRTC) of urban drainage systems. The Oslo interceptor tunnel is used as a case study. The paper focuses on the reduction of total phosphorus Ptot and ammonia-nitrogen NH4-N overflow loads into the receiving waters by means of optimized operation of the tunnel system. With PBRTC the total reduction of the Ptot load is 48% and of the NH4-N load 51%. Compared to the volume based RTC scenario the reductions are 11% and 15%, respectively. These further reductions could be achieved with a relatively simple extension of the operation strategy.


Author(s):  
Cuifeng Shen ◽  
Hanhua Yang

Background: A multi-motor synchronous drive control system is widely used in many fields, such as electric vehicle drive, paper making, and printing. Methods: On the basis of the optimized structure of ADRC, a fuzzy first-order active disturbance rejection controller was developed. Double channels compensation of extended state observer was employed to estimate and compensate the total disturbances, and an approximate linearization and deterministic system was obtained. As the parameters of ADRC are adjusted online by a fuzzy controller, the performance of the controller is effectively improved. Results: Based on the SIMATIC S7-300 induction motor control experimental platform, the performances of anti-interference and tracking performance are tested. Conclusion: The actual experimental results indicated that compared with PID control, induction motor drive system controlled by fuzzy ADRC has higher dynamic and static status and following performances and stronger anti-interference abilities.


Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3185 ◽  
Author(s):  
Shiyu Gan ◽  
Daniela Chrenko ◽  
Alan Kéromnès ◽  
Luis Le Moyne

Hybrid electric vehicles (HEVs) are very promising sustainable mobility solutions. Series, parallel and series-parallel (SP) seem to be three most promising architectures among the multitude of hybrid architectures, and it is possible to find them in a multi-applications such as the motorcycles, family-cars, hybrid city busses and sport cars. It is import to have a well configured model in order to develop the different control strategies (CsTs) for each application. Therefore, a multi-architecture/multi-application (MAMA) approach capable of identifying the most energy efficient hybrid architecture considering both the dimensions of key components: electric motor (EM), battery, internal combustion engine (ICE) and the optimal control is presented. Basis of the model is the energetic macroscopic representation (EMR), which has been combined with object oriented programming (OOP) in order to enhance its modularity and reuse capabilities. The obtained results show, that different hybrid architectures are most adapted for different applications. Moreover, the robustness of the results using real time control algorithms are studied, showing that CsT matters. The obtained results contribute to simplify and harmonize the design of hybrid solutions for multiple applications.


Author(s):  
Mervin Joe Thomas ◽  
Shoby George ◽  
Deepak Sreedharan ◽  
ML Joy ◽  
AP Sudheer

The significant challenges seen with the mathematical modeling and control of spatial parallel manipulators are its difficulty in the kinematic formulation and the inability to real-time control. The analytical approaches for the determination of the kinematic solutions are computationally expensive. This is due to the passive joints, solvability issues with non-linear equations, and inherent kinematic constraints within the manipulator architecture. Therefore, this article concentrates on an artificial neural network–based system identification approach to resolve the complexities of mathematical formulations. Moreover, the low computation time with neural networks adds up to its advantage of real-time control. Besides, this article compares the performance of a constant gain proportional–integral–derivative (PID), variable gain proportional–integral–derivative, model predictive controller, and a cascade controller with combined variable proportional–integral–derivative and model predictive controller for real-time tracking of the end-effector. The control strategies are simulated on the Simulink model of a 6-degree-of-freedom 3-PPSS (P—prismatic; S—spherical) parallel manipulator. The simulation and real-time experiments performed on the fabricated manipulator prototype indicate that the proposed cascade controller with position and velocity compensation is an appropriate method for accurate tracking along the desired path. Also, training the network using the experimentally generated data set incorporates the mechanical joint approximations and link deformities present in the fabricated model into the predicted results. In addition, this article showcases the application of Euler–Lagrangian formalism on the 3-PPSS parallel manipulator for its dynamic model incorporating the system constraints. The Lagrangian multipliers include the influence of the constraint forces acting on the manipulator platform. For completeness, the analytical model results have been verified using ADAMS for a pre-defined end-effector trajectory.


2013 ◽  
Vol 853 ◽  
pp. 646-651
Author(s):  
Ling Zhou ◽  
Ying Xing

This paper analyses the status of aquiculture in China and gives out some of its potential problems. In order to over these problems, Industrial fieldbus and Intranet technology are used in this paper to achieve the hardware and software design, as well as control strategies for factory aquaculture. It applies WEB server, database server and browser to establish the management platform for environment control and production process. The whole system was successfully verified at Zhenjiang production base. Through a real-time control of dissolved oxygen, temperature and PH in pond, this system stabilizes these parameters at each own optimum values, and dramatically improves the overall productivity. The test results show that this system is easy-operated and user friendly, it provides a direct and practical measure for aquiculture, and saves energy as well.


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