The observer of a direct-current moto condition on the basis of the particles swarm method
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2019, Vol 6, Issue 22
Abstract
This paper describes a observer of direct current motor’s (DC motors) parameter based on particles swarm method allowing to define the parameters values set and variables state in real time. During the electric motor operation the values characterizing its current state, for example, the resistance and inductances of the field winding and armature coil change over a wide range and are inaccessible for direct measurement therefore their indirect definition by means of observers is necessary. The current state of the working electric motor at the same time is defined by computer processing easily of measurands – voltage and currents of motor windings, by using of its mathematical model and estimation methods. The mathematical processing algorithm, features of settings, performance and some other results of the research are presented in this article. The results of this work can be used in the design of sensorless DC drives. The estimated DC motor parameter’s can be used for control, monitoring and diagnostics of DC drive technical state. For check of serviceability and accuracy of the PSO method the computer motor model received on the basis of the equations of the generalized electrical machine was used. State estimation results of the working electric motor P-12 type confirmed validity of the offered approach.
Authors and Affiliations
A. N. Gargaev, V. G. Kashirskikh, A. G. Zakharova, V. A. Borovtsov
Effective Video content Retrieval using Image attribute standards
Technology brings the important of image retrieval for various operations like education, defense, medical and more. Creation of video files are very easy to any user , retrieve the same is one of the major challenge for...
Deterministic Scheduling for Energy Efficient and Reliable Communication in Heterogeneous Sensing Environments in Industrial Wireless Sensor Networks
The present-day industries incorporate many applications, and complex processes, hence, a large number of sensors with dissimilar process deadlines and sensor update frequencies will be in place. This paper presents a sc...
Disaster Impact Mitigation using KDD and Support Vector Machine algorithms
Disasters such as Hurricanes, Typhoons, Floods and earthquakesare not good for the society since it causes serious damage for the society. A natural disaster causes loss in property as well as in life of victims. The vic...
Resilience Governance through Serious Energy Gaming
Physical analogies emphasizing cooperative behavior in systems are explored and integrated into so called 'serious energy games', to contribute in a better understanding, monitoring and good governance of some of the co...
Search and research of energy-efficient configuration of the power supply network
Model of main structure of power-supply is considered for research of states of working collections of induction motors. Model consists of separate electromechanic modules, which can contain different amount of motors. M...