Pub Date : 2020-11-01DOI: 10.13189/ujca.2020.080301
S. Suman, Awadhesh Kumar
In this article, we are exploring and implementing the new model order reduction (MOR) method for Large-Scale Linear Dynamic System (LSLDS) to achieve reduced order. These technologies are designed to better understand and explain LSLDS based on the Modified Balanced Truncation Method (BTM). This refers to continuous/discrete LTI structures that are minimal / non-minimum. This reduced method allows MOR to preserve complete parameters with reasonable accuracy. The approach is based on the maintenance of dominant system modes and a relatively small state truncation. As the reduced-order model (ROM) is derived from the retention of dominant modes, the reduction remains stable. The main demerit of the balanced truncation method is that the ROM, stable states, does not match the original structures. By modified BTM to narrow the deviations in the ROM transfer function matrix, a gain factor is added to adjust the steady-state values of the reduction system without altering the dynamic behaviour of the system. The proposed method has been successfully applied to a real-time single area power system with ease of extension to a discrete-time case and the results obtained show the efficacy of the method. Application model and the results obtained indicate the effectiveness of the methodology. The time response of the system has been demonstrated by the proposed method, which proves to be excellent match, effectiveness and superiority compared to the response of other approaches in the literature review of the original system.
{"title":"Model Reduction of Power System by Modified Balanced Truncation Method","authors":"S. Suman, Awadhesh Kumar","doi":"10.13189/ujca.2020.080301","DOIUrl":"https://doi.org/10.13189/ujca.2020.080301","url":null,"abstract":"In this article, we are exploring and implementing the new model order reduction (MOR) method for Large-Scale Linear Dynamic System (LSLDS) to achieve reduced order. These technologies are designed to better understand and explain LSLDS based on the Modified Balanced Truncation Method (BTM). This refers to continuous/discrete LTI structures that are minimal / non-minimum. This reduced method allows MOR to preserve complete parameters with reasonable accuracy. The approach is based on the maintenance of dominant system modes and a relatively small state truncation. As the reduced-order model (ROM) is derived from the retention of dominant modes, the reduction remains stable. The main demerit of the balanced truncation method is that the ROM, stable states, does not match the original structures. By modified BTM to narrow the deviations in the ROM transfer function matrix, a gain factor is added to adjust the steady-state values of the reduction system without altering the dynamic behaviour of the system. The proposed method has been successfully applied to a real-time single area power system with ease of extension to a discrete-time case and the results obtained show the efficacy of the method. Application model and the results obtained indicate the effectiveness of the methodology. The time response of the system has been demonstrated by the proposed method, which proves to be excellent match, effectiveness and superiority compared to the response of other approaches in the literature review of the original system.","PeriodicalId":267826,"journal":{"name":"Universal Journal of Control and Automation","volume":"27 3 Suppl 54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.13189/UJCA.2019.070101
Chunming Xu
This paper considers the parameter identification problem of block-oriented Hammerstein nonlinear systems with time-delay. Firstly, we adopt the data filtering technique to transform the identification model so that all the parameters will be separated in the resulting identification model which has no redundant parameters. Secondly, a multi-innovation stochastic gradient algorithm is used to estimate the system parameters. The proposed method has high computational efficiency and good accuracy. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.
{"title":"Parameter Identification of Nonlinear Systems with Time-delay Based on the Multi-innovation Stochastic Gradient Algorithm","authors":"Chunming Xu","doi":"10.13189/UJCA.2019.070101","DOIUrl":"https://doi.org/10.13189/UJCA.2019.070101","url":null,"abstract":"This paper considers the parameter identification problem of block-oriented Hammerstein nonlinear systems with time-delay. Firstly, we adopt the data filtering technique to transform the identification model so that all the parameters will be separated in the resulting identification model which has no redundant parameters. Secondly, a multi-innovation stochastic gradient algorithm is used to estimate the system parameters. The proposed method has high computational efficiency and good accuracy. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":267826,"journal":{"name":"Universal Journal of Control and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114610988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.13189/ujca.2018.060201
S. Sulaiman, A. Emhemed
Corporation robots basically consist of two robots that collaborate together to perform shared goals. Single robot is not suitable to handle heavy load and cannot handle long size load. Therefore, the corporation robots system is introduced to overcome with these limitations. This paper is mainly concerned on the design and construction of the corporation robots that can follow line and carry load. The PIC16F877A is used as microcontroller brain, while the circuit will be built and connected to IR sensors and motors. The corporation robots follow the line and work together as leader and slave to carry load from one point to another point. The experimental results achieved good performance for the robots movement regarding accurate line following and smooth handling the load.
{"title":"Design and Implementation of Corporation Robots","authors":"S. Sulaiman, A. Emhemed","doi":"10.13189/ujca.2018.060201","DOIUrl":"https://doi.org/10.13189/ujca.2018.060201","url":null,"abstract":"Corporation robots basically consist of two robots that collaborate together to perform shared goals. Single robot is not suitable to handle heavy load and cannot handle long size load. Therefore, the corporation robots system is introduced to overcome with these limitations. This paper is mainly concerned on the design and construction of the corporation robots that can follow line and carry load. The PIC16F877A is used as microcontroller brain, while the circuit will be built and connected to IR sensors and motors. The corporation robots follow the line and work together as leader and slave to carry load from one point to another point. The experimental results achieved good performance for the robots movement regarding accurate line following and smooth handling the load.","PeriodicalId":267826,"journal":{"name":"Universal Journal of Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.13189/UJCA.2014.020401
S. Ravi, D. Rao, K. Krishna, V. Mezhuyev
Brushless DC motors are widely used for many industrial applications because of their high efficiency, high torque, higher speed ranges, noiseless operation and low volume. More advanced controllers are used to manage acceleration, control speed and fine-tune efficiency of BLDC motor. A proportional-integral-derivative controller is a generic control loop feedback mechanism widely used in industrial control systems because of its simple structure and easy implementation. The conventionally tuned PID controller is not providing optimum performance under nonlinear conditions and parameter variations. The aim of this research is to develop a complete model of the BLDC motor and to design an optimal controller for its control. The Genetic Algorithm is proposed as a global optimizer to find the optimized PID gains for control of BLDC motor.
{"title":"A Proposed GA Based PID Controller for Three Phase Brushless DC Motor","authors":"S. Ravi, D. Rao, K. Krishna, V. Mezhuyev","doi":"10.13189/UJCA.2014.020401","DOIUrl":"https://doi.org/10.13189/UJCA.2014.020401","url":null,"abstract":"Brushless DC motors are widely used for many industrial applications because of their high efficiency, high torque, higher speed ranges, noiseless operation and low volume. More advanced controllers are used to manage acceleration, control speed and fine-tune efficiency of BLDC motor. A proportional-integral-derivative controller is a generic control loop feedback mechanism widely used in industrial control systems because of its simple structure and easy implementation. The conventionally tuned PID controller is not providing optimum performance under nonlinear conditions and parameter variations. The aim of this research is to develop a complete model of the BLDC motor and to design an optimal controller for its control. The Genetic Algorithm is proposed as a global optimizer to find the optimized PID gains for control of BLDC motor.","PeriodicalId":267826,"journal":{"name":"Universal Journal of Control and Automation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129964067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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