2014
DOI: 10.3182/20140313-3-in-3024.00079
|View full text |Cite
|
Sign up to set email alerts
|

Modelling and Control of Ball and Beam System using Coefficient Diagram Method (CDM) based PID controller

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
17
0
5

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 23 publications
(23 citation statements)
references
References 8 publications
0
17
0
5
Order By: Relevance
“…The Beam and Ball. The ball and beam system in Figure 5[45][46][47][48][49] consists of a beam and a ball on it. It is composed of a beam that can pivot in the vertical plane via a torque at the center of rotation and a ball whose aim is to reach the center of the beam.2.6.…”
mentioning
confidence: 99%
“…The Beam and Ball. The ball and beam system in Figure 5[45][46][47][48][49] consists of a beam and a ball on it. It is composed of a beam that can pivot in the vertical plane via a torque at the center of rotation and a ball whose aim is to reach the center of the beam.2.6.…”
mentioning
confidence: 99%
“…Vì vậy, đây có thể là một điểm đặc trưng đã hấp dẫn nhiều nghiên cứu liên quan đến hệ cầu cân bằng. Meenakshipriya and Kalpana (2014) Trong các nghiên cứu hiện nay, có hai trường phái thiết kế mô hình thực của hệ cầu cân bằng với kỹ thuật định vị quả bóng bằng phương pháp tiếp xúc và không tiếp xúc. Đối với phương pháp tiếp xúc, các nhóm nghiên cứu đã dùng hòn bi sắt trượt trên 2 thanh kim loại, như trong công bố của (Keshmiri, 2012;Saad & Khalallah, 2017).…”
Section: Giới Thiệuunclassified
“…Analyzing the ball and beam system from the control analysis point of view is interesting as its model can be used to understand transportation systems, communication, or power system dynamics [4]. In the literature, the problem of control in ball and beam systems has been addressed with linear and nonlinear techniques with some of these are presented as follows; proportional-integral control [5], feedback of state variables [6], linear matrix inequalities [7] exact feedback linearization [8], control Lyapunov functions [9,10], adaptive control design [2], passivity-based control [11], fuzzy logic [12,13], and artificial neural networks [14], among others.…”
Section: Introductionmentioning
confidence: 99%