The Optimal Controller Design of Buck-Boost Converter by using Adaptive Tabu Search Algorithm Based on State-Space Averaging Model

Pakdeeto, Jakkrit; Chanpittayagit, Rangsan; Areerak, Kongpol

doi:10.5370/jeet.2017.12.3.1146

Cited by 14 publications

(7 citation statements)

References 15 publications

(20 reference statements)

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“…It can be a tool to help students complete cooperative tourism teaching and learning and self-designed tourism teaching classroom learning, and it can also be the key to help students solve problems. Literature [ 19 ] pointed out that the research on tourism teaching information industry in foreign countries developed rapidly and was widely used in teaching and student management. According to incomplete statistics, at present, there are about 2.5 million computer devices used in classroom tourism teaching in the United States, and this data is still growing.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Xing

2022

Computational Intelligence and Neuroscience

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The tourism teaching system provides all kinds of teaching resources for students and shares good teachers, which greatly improves the quality of teaching and learning, and it enables students to teach and learn randomly in the system. The mode of educational information dissemination has also changed, resulting in great changes in educational models, ideas, and methods. The tourism teaching system overcomes the shortcomings of traditional education. In the 21st century, the means of education and teaching will be ITS-based, and technology will be used to optimize teaching. With the rapid development of network technology, it has been widely used in the field of education, and the way of educational information dissemination has also changed, which has led to great changes in educational models, concepts, and methods. Therefore, the combination of artificial intelligence technology and tourism teaching system is the focus of current educational research. In this paper, the tourism teaching system is designed based on artificial intelligence technology. Combined with the application status of the tourism teaching system in education, a personalized cognitive student model is designed by combining artificial intelligence technology with student behavior analysis, and an intelligent and personalized educational environment is developed. Design and implement a simple web-based tourism teaching system, use a personalized cognitive student model to model students, and use an expert question bank and self-built question bank to test students’ learning to provide a basis for students’ next learning.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Xing

2022

Computational Intelligence and Neuroscience

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“…It consists of the bidirectional VSC located between the DC bus and three-phase power system, and the CPL is represented with the controlled buck-boost converter. For the buck-boost converter, the adaptive Tabu search [37] was used to design the PI controller for achieving the optimal output response, which was as close as possible to the ideal CPL. The details of the testing rig are provided in Fig.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…Hence, the GSSA and DQ methods were used to derive the time-invariant model. In this paper, the proposed DCMG models can be derived by using a combination of the DQ method and the GSSA approach [35,37]. The important assumptions used to derive the mathematical model are that the bi-directional VSC have to be operated under the continuous conductance mode (CCM) and the dynamic response of P&O algorithm is very fast.…”

Section: Modeling Of the Dcmgs Feeding An Ideal Cplmentioning

confidence: 99%

Stabilization of DC MicroGrid Systems Using the Loop-Cancellation Technique

Pakdeeto

Areerak

Bozhko

2021

IEEE J. Emerg. Sel. Topics Power Electron.

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DC micro-grid systems feed power to constant power loads via transmission lines. Although these systems are commonly used worldwide, constant power loads have negative impedance effects. These loads can significantly degrade the system stability. Therefore, stability study is very important to avoid inefficient operations. The model proposed in this paper can be derived by using a combination of the DQ method and the generalized state-space averaging method. This model is suitable for analyzing the system stability using the eigenvalue theorem. For stability analysis, the proposed DC micro-grid system will be unstable before reaching the rated power when the irradiance is equal to 0 W/m 2 . Consequently, the loop-cancellation technique is applied to mitigate the unstable operation until the operation at the rated power can be achieved. Experimental and simulation results were used to confirm the theoretical analysis. The system performed well, and the results proved that the system could be stabilized by using the proposed technique.

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“…To concentrate all the control parts on the digital controller, one is to solve the problem that analog circuit devices are difficult to change and adjust in real time, and the other is to provide a new idea and direction for the development of control. In the future, the control part will rely more on intelligent chip processing [ 7 ]. The development of chaos is introduced in the literature.…”

Section: Related Workmentioning

confidence: 99%

Feedback Delay of Sports Intelligent Learning System Based on Model Predictive Control

2022

Computational Intelligence and Neuroscience

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In this paper, a trajectory tracking controller based on linear time-varying model prediction is developed, and the model predictive control theory based on the six degrees of freedom dynamic model and tire model is applied. Combined with the soft constraint of turning angle and the control algorithm to ensure the stability, the trajectory tracking is realized. The terminal node is a wearable device. The terminal node is equipped with a pressure sensor and attitude sensor network to collect human data, and then the terminal node sends the data to the ZigBee network. The data in the sensor network will be received by the gateway, and the data will be processed and displayed on the PC software after being received by the gateway. Finally, the data is saved to the remote server for archiving. The application of intelligent learning systems in sports makes up for many shortcomings of traditional sports. The teaching of the course consists of seven types of intelligent courses, which not only conform to the spirit of high-quality education but also combine the shortcomings of traditional physical education learning and combines several intelligent theories and the need for time development. The purpose is to develop a new sports model suitable for students’ all-round development. Under the guidance of the theory of intelligent learning system, this paper establishes a new and diverse movement model, including various educational models, educational contents, educational methods, student-based learning model, and multidimensional evaluation. By comparing and analyzing the results of the two groups, the multiple intelligences physical education is more suitable for the development of modern students’ various intelligences. According to the physical education learning questionnaire, students also learn more methods and contents and accept diversified teaching evaluation, which expands the development direction of students.

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The Optimal Controller Design of Buck-Boost Converter by using Adaptive Tabu Search Algorithm Based on State-Space Averaging Model

Cited by 14 publications

References 15 publications

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Design and Implementation of Tourism Teaching System Based on Artificial Intelligence Technology

Stabilization of DC MicroGrid Systems Using the Loop-Cancellation Technique

Feedback Delay of Sports Intelligent Learning System Based on Model Predictive Control

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