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Relevant bibliographies by topics / INVERTED PENDULUM SYSTEM

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Academic literature on the topic 'INVERTED PENDULUM SYSTEM'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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Journal articles on the topic "INVERTED PENDULUM SYSTEM"

1

Mesa, F., R. Ospina Ospina, and D. M. Devia-Narvaez. "Methodology of robust inverted pendulum controllers on a vehicle." Journal of Physics: Conference Series 2102, no. 1 (2021): 012012. http://dx.doi.org/10.1088/1742-6596/2102/1/012012.

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Abstract In the theory of controllers, the simple and inverted pendulum play an important role due to the equations that result from them, which imply non-linearities and perturbations, thus, in this article, a brief classification of inverted pendulums is presented: inverted pendulum, inverted double pendulum, inverted rotary pendulum (Furuta pendulum). Subsequently, a mathematical model of the inverted pendulum is described through the deduction of the equations of motion that represent the dynamics of the system. Robust control is presented that allows expanding the richness of the mathemat

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Fahmizal, Geonoky, and Hari Maghfiroh. "Rotary Inverted Pendulum Control with Pole Placement." Journal of Fuzzy Systems and Control 1, no. 3 (2023): 90–96. http://dx.doi.org/10.59247/jfsc.v1i3.152.

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The inverted pendulums are multivariable and highly unstable dynamic systems. The inverted pendulum has been used to answer many modern control and control system designs because it has several problems relating to the system model of nonlinearity, difficulty, and inactivity. In this research, the main topic is the rotatory inverted pendulum. Circular path to eliminate the path that is on the pendulum that is traversed by the transversal path. In this paper, the Inverted Rotatory Pendulum is analyzed by state feedback which is adjusted by pole placement. The result of design selection in the s

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3

Nasim, Shahzad, M. Javeed, M. Shafiq, Faraz Liaquat, and Zain Anwar Ali. "Self-Erected Inverted Pendulum." Advanced Materials Research 816-817 (September 2013): 415–19. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.415.

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The basic theme of this research paper is self-erecting the inverted pendulum by via ARDUINO controller and stabilizes the system through PID algorithm of linear control system. ARDUINO controller acquires the data from the sensors in terms of position and angle of the pendulum and commands the motor through PWM signal after that swing the pendulum from rest position to get and balance the inverted position. Controller read the pendulums angular position through potentiometer then calculates and removes errors via PID algorithm. MATLAB-Simulink and LABVIEW sent and receives runtime information

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4

Wang, Yujue, Weining Mao, Qing Wang, and Bin Xin. "Fuzzy Cooperative Control for the Stabilization of the Rotating Inverted Pendulum System." Journal of Advanced Computational Intelligence and Intelligent Informatics 27, no. 3 (2023): 360–71. http://dx.doi.org/10.20965/jaciii.2023.p0360.

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The rotating inverted pendulum is a nonlinear, multivariate, strongly coupled unstable system, and studying it can effectively reflect many typical control problems. In this paper, a parameter self-tuning fuzzy controller is proposed to perform the balance control of a single rotating inverted pendulum. Particle swarm optimization is used to adjust its control parameters, and simulation experiments are performed to show that the system can achieve stability with the designed parametric self-tuning fuzzy controller, with control performance better than that of the conventional fuzzy controller.

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Sultan, Ghassan A., and Ziyad K. Farej. "Design and Performance Analysis of LQR Controller for Stabilizing Double Inverted Pendulum System." Circulation in Computer Science 2, no. 9 (2017): 1–5. http://dx.doi.org/10.22632/ccs-2017-252-45.

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Double inverted pendulum (DIP) is a nonlinear, multivariable and unstable system. The inverted pendulum which continually moves toward an uncontrolled state represents a challenging control problem. The problem is to balance the pendulum vertically upward on a mobile platform that can move in only two directions (left or right) when it is offset from zero stat. The aim is to determine the control strategy that deliver better performance with respect to pendulum's angles and cart's position. A Linear-Quadratic-Regulator (LQR) technique for controlling the linearized system of double inverted pe

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PAGANO, DANIEL, LUIS PIZARRO, and JAVIER ARACIL. "LOCAL BIFURCATION ANALYSIS IN THE FURUTA PENDULUM VIA NORMAL FORMS." International Journal of Bifurcation and Chaos 10, no. 05 (2000): 981–95. http://dx.doi.org/10.1142/s0218127400000700.

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Inverted pendulums are very suitable to illustrate many ideas in automatic control of nonlinear systems. The rotational inverted pendulum is a novel design that has some interesting dynamics features that are not present in inverted pendulums with linear motion of the pivot. In this paper the dynamics of a rotational inverted pendulum has been studied applying well-known results of bifurcation theory. Two classes of local bifurcations are analyzed by means of the center manifold theorem and the normal form theory — first, a pitchfork bifurcation that appears for the open-loop controlled system

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Chawla, Ishan, and Ashish Singla. "ANFIS based system identification of underactuated systems." International Journal of Nonlinear Sciences and Numerical Simulation 21, no. 7-8 (2020): 649–60. http://dx.doi.org/10.1515/ijnsns-2018-0005.

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AbstractIn this work, the effectiveness of the adaptive neural based fuzzy inference system (ANFIS) in identifying underactuated systems is illustrated. Two case studies of underactuated systems are used to validate the system identification i. e., linear inverted pendulum (LIP) and rotary inverted pendulum (RIP). Both the systems are treated as benchmark systems in modeling and control theory for their inherit nonlinear, unstable, and underactuated behavior. The systems are modeled with ANFIS using the input-output data acquired from the dynamic response of the nonlinear analytical model of t

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Lastomo, Dwi, Herlambang Setiadi, and Muhammad Ruswandi Djalal. "Design Controller of Pendulum System using Imperialist Competitive Algorithm." INTEK: Jurnal Penelitian 4, no. 1 (2017): 53. http://dx.doi.org/10.31963/intek.v4i1.94.

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Due to development of technology in recent years, complexity and nonlinearity of mechanical and electrical system are increasing significantly. Inverted pendulum is nonlinear system that has become popular in recent years. However, inverted pendulum is nonlinear and unstable system. Therefore appropriate design controller of inverted pendulum system is crucial. Hence, this paper proposed, design of inverted pendulum system based on imperialist competitive algorithm (ICA). In order to design the controller, dynamic model of inverted pendulum system is used. Time domain simulation is used to add

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Li, Wen Ping, and Li Qiang Wu. "Synthesized ADRC for One-Level Inverted Pendulum System through Combination of Separating and Assembling." Applied Mechanics and Materials 490-491 (January 2014): 794–97. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.794.

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Inverted pendulum system is the ideal study object of nonlinear system. The ADRC has good estimate for disturbances, strong robustness and using static decoupling instead of dynamical decoupling. The one-level inverted pendulum system can be regarded as composing of the pendulum angel system and the cart position system. The former is faster and the later is slower. The synthesized ADRC for one-level inverted pendulum system is built through combination of separating and assembling to reduce difficulty in optimizing ADRC parameters of the inverted pendulum system. The synthesized controller is

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Zhang, Jiao Long, and Wei Zhang. "Adaptive Fuzzy Sliding Mode Control for Uncertain Inverted Pendulum System." Applied Mechanics and Materials 273 (January 2013): 683–88. http://dx.doi.org/10.4028/www.scientific.net/amm.273.683.

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Firstly, the mathematical model of inverted pendulum system is created. Taking into account the uncertainty of inverted pendulum system external disturbances, adaptive fuzzy sliding mode controller is proposed with sliding mode control (SMC) theory and fuzzy logic theory. This controller can weaken the impact of uncertainty through fuzzification of the switching gain, Owing to Fuzzy approximation of the inverted pendulum system equations for an inverted pendulum with unknown parameters, this system achieve the adaptive control and optimize the control action. Secondly, inverted pendulum system

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Dissertations / Theses on the topic "INVERTED PENDULUM SYSTEM"

1

Oyama, Hiroshi, Takayuki Ukai, Hiroaki Takada, and Takuya Azumi. "Wheeled Inverted Pendulum with Embedded Component System : A Case Study." IEEE, 2010. http://hdl.handle.net/2237/14474.

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Cheang, Sek Un. "Robust control system design : H∞ loop shaping for double inverted pendulum." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1445662.

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Maeda, Ken. "Nonlinear control system of inverted pendulum based on input-output linearization." Diss., Online access via UMI:, 2006.

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4

Gustavsson, Martin, and Viktor Frimodig. "Virtual Prototyping and Physical Validation of an Inverted Pendulum : "Sea-Calf Bot"." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27946.

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The work is motivated by the goal of linking reality and model, and to see if there is an opportunity to develop an inexpensive educational tool for training in cyber-physical systems. This project has investigated the possibilities to build a cheap inverted pendulum with controller and connect this with the modeling language Acumen. Acumen models is used for comparison with the actual prototype. To solve these problems has a 3D printer been used to create hardware, Arduino UNO for control and Raspberry Pi for enable communication with Acumen over WLAN. The result was a cheap inverted pendulum

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Phillips, Lara C. (Lara Christine). "Control of a dual inverted pendulum system using linear-quadratic and H-infinity methods." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36507.

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Bustamante, Montes Luis Gabriel. "Design and implementation of fuzzy logic and PID controllers to balance an inverted pendulum system." Scholarly Commons, 1994. https://scholarlycommons.pacific.edu/uop_etds/2267.

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A PID controller and a Fuzzy Logic controller were designed to balance an inverted pendulum system. Both controllers were implemented in a Digital Signal Processor (DSP). Measurements of the angular position of the pendulum (feedback signal) were taken from a precision potentiometer and transformed into digital by an Analog Interface Board (AlB) to be processed by the DSP. The DSP generated the digital control signal that was converted into analog by the AlB and then filtered and amplified to drive a DC motor. The DC motor provided the control force for the mobil base where the inverted pendul

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Robillard, Dominic. "Development of a Stair-Climbing Robot and a Hybrid Stabilization System for Self-Balancing Robots." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31840.

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Self-balancing robots are unique mobile platforms that stay upright on two wheels using a closed-loop control system. They can turn on the spot using differential steering and have compact form factors that limit their required floor space. However they have major limitations keeping them from being used in real world applications: they cannot stand-up on their own, climb stairs, or overcome obstacles. They can fall easily if hit or going onto a slippery surface because they rely on friction for balancing. The first part of this research proposes a novel design to address the above mentioned i

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Houchin, Scott J. "Pendulum : controlling an inverted pendulum using fuzzy logic /." Online version of thesis, 1991. http://hdl.handle.net/1850/11294.

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Shao, Jindi. "Dynamics and nonlinear control of unstable inverted pendulum systems." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296946.

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10

Kong, Kou A. "Fuzzy logic PD control of a non-linear inverted flexible pendulum." [Chico, Calif. : California State University, Chico], 2009. http://hdl.handle.net/10211.4/90.

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Books on the topic "INVERTED PENDULUM SYSTEM"

1

Li, Zhijun, Chenguang Yang, and Liping Fan. Advanced Control of Wheeled Inverted Pendulum Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2963-9.

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2

Li, Zhijun. Advanced Control of Wheeled Inverted Pendulum Systems. Springer London, 2013.

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3

Lam, Simon Sai-Ming. The real stability and stabilizability radii of the multi-link inverted pendulum system. 2005.

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Li, Zhijun, Chenguang Yang, and Liping Fan. Advanced Control of Wheeled Inverted Pendulum Systems. Springer, 2014.

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5

Advanced Control Of Wheeled Inverted Pendulum Systems. Springer, 2012.

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6

Barrett, Spencer Brown. Predictive control using feedback-: A case study of an inverted pendulum. 1995.

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7

Holzapfel, Frank G. Fuzzy logic control of an inverted pendulum with vision feedback. 1994.

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8

Rajeev, S. G. Fluid Mechanics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805021.001.0001.

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Starting with a review of vector fields and their integral curves, the book presents the basic equations of the subject: Euler and Navier–Stokes. Some solutions are studied next: ideal flows using conformal transformations, viscous flows such as Couette and Stokes flow around a sphere, shocks in the Burgers equation. Prandtl’s boundary layer theory and the Blasius solution are presented. Rayleigh–Taylor instability is studied in analogy with the inverted pendulum, with a digression on Kapitza’s stabilization. The possibility of transients in a linearly stable system with a non-normal operator

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9

Inverted Pendulum in Control Theory and Robotics: From Theory to New Innovations. Institution of Engineering & Technology, 2017.

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Book chapters on the topic "INVERTED PENDULUM SYSTEM"

1

Gu, Da-Wei, Petko H. Petkov, and Mihail M. Konstantinov. "A Triple Inverted Pendulum Control System Design." In Robust Control Design with MATLAB®. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4682-7_15.

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2

Ding, Guyue, Yongming Bian, and Meng Yang. "Design and Application of Hydraulic Inverted Pendulum." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_9.

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AbstractThis paper briefly describes the designing process of a hydraulic inverted pendulum including hardware and software design. First, the mechanical structure, including the components of the platform will be introduced. Second, the electrical system including controllers for receiving signals from sensors which measure the variables important for controlling inverted pendulum is about to be shown. Afterwards, the paper will present a mathematical model of the whole platform, then shows up an open loop simulation established by AMESim and Simulink in order to analysis its dynamic characte

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3

Tang, Bowen, Xinrong Yan, and Ming Chu. "Balance Control for Inverted Pendulum System via SGCMG." In Intelligent Robotics and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6501-4_11.

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Gia Thi, Dinh, and Hao Nguyen Dang. "Stabilizing Control for an Inverted Eccentric Pendulum System." In Advances in Information and Communication Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50818-9_24.

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Du, Dajun, Bin Zhan, Wangpei Li, Minrui Fei, and TaiCheng Yang. "Experimental Analysis of Visual Inverted Pendulum Servoing System." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2669-0_47.

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Alam, Md Shah, and Sharmistha Mandal. "LMI Based Robust Control of Inverted Pendulum System." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_49.

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Ronquillo, G., G. J. Ríos Moreno, E. Hernández Martínez, and M. Trejo Perea. "Nonlinear Identification of Inverted Pendulum System Using Volterra Polynomials." In Multibody Mechatronic Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09858-6_9.

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8

Kharola, Ashwani, Rahul, and Varun Pokhriyal. "Adaptive Neuro Fuzzy Control of Triple Inverted Pendulum System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0969-8_28.

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Vo, Minh-Tai, Van-Dong-Hai Nguyen, Hoai-Nghia Duong, and Vinh-Hao Nguyen. "Passivity-Based Control of Underactuated Rotary Inverted Pendulum System." In Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9005-4_28.

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10

Gao, Hongxia, Yun Lu, Qian Mai, and Yueming Hu. "Inverted Pendulum System Control by Using Modified Iterative Learning Control." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10817-4_123.

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Conference papers on the topic "INVERTED PENDULUM SYSTEM"

1

Panya, Samatthachai, Taworn Benjanarasuth, Songmoung Nundrakwang, Jongkol Ngamwiwit, and Noriyuki Komine. "Hybrid Controller for Inverted Pendulum System." In 2008 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2008. http://dx.doi.org/10.1109/iscit.2008.4700219.

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2

Suravneva, Ksenija S., Grigorij V. Belskii, and Mihail M. Kopichev. "Reaction Wheel Inverted Pendulum Control System." In 2024 XXVII International Conference on Soft Computing and Measurements (SCM). IEEE, 2024. http://dx.doi.org/10.1109/scm62608.2024.10554249.

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3

Le, Tony, and Paul Oh. "NXT Mobile Inverted Pendulum." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49667.

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The intent of this paper is to provide information on how to implement a mobile inverted pendulum using the LEGO® Mindstorms NXT platform for educational purposes in mechatronics. A description of the dynamics of a mobile inverted pendulum is first, followed by a description of the hardware and software components composing the NXT platform. Discussed are the capabilities and the limitations of the NXT system. As a demonstration, a mobile inverted pendulum is built and controlled using a simple PID controller. Sensors used include a HiTechnic gyro sensor to measure angular rate for balancing a

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Pannil, Pittaya, Aroosh Klaeoyotha, Prapart Ukakimaparn, Thanit Trisuwannawat, Kitti Tirasesth, and Noriyuki Kominet. "Development of Inverted Pendulum System at KMITL." In 2008 International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2008. http://dx.doi.org/10.1109/iscit.2008.4700220.

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Song, Yang, Jin-xia Xie, Yi-qing Shi, and Li Jia. "Switching stabilization for the inverted pendulum system." In 2009 Chinese Control and Decision Conference (CCDC 2009). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5191582.

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Roman, M., E. Bobasu, and D. Sendrescu. "Modelling of the rotary inverted pendulum system." In 2008 IEEE International Conference on Automation, Quality and Testing, Robotics. IEEE, 2008. http://dx.doi.org/10.1109/aqtr.2008.4588810.

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Resende, Diogo, Marcus Vinicius Girão de Morais, and Suzana Avila. "VIBRATION CONTROL USING AN INVERTED PENDULUM SYSTEM." In DINAME2019. ABCM, 2019. http://dx.doi.org/10.26678/abcm.diname2019.din2019-0107.

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Li, Qing-Rui, Wen-Hua Tao, Na Sun, Chong-Yang Zhang, and Ling-Hong Yao. "Stabilization Control of Double Inverted Pendulum System." In 2008 3rd International Conference on Innovative Computing Information and Control. IEEE, 2008. http://dx.doi.org/10.1109/icicic.2008.662.

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Balkan, Tuna, and Mehmet Emin Ari. "Fuzzy Control of an Inverted Pendulum." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/cie-1441.

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Abstract An inverted pendulum system has been designed and constructed as a physical model of inherently unstable mechanical systems. The vertical upright position of a pendulum is controlled by changing the horizontal position of a cart to which the pendulum is hinged. The stability of the system has been investigated when a fuzzy controller is used to produce the control signal, while making a single measurement. It has been shown that by using simple fuzzy rules to allow real time computation with a single angular position measurement, the system can not be made absolutely stable. However,

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Chiu, Chih-Hui, and Ya-Fu Peng. "The implementation of a rotary inverted pendulum." In 2018 IEEE International Conference on Applied System Innovation (ICASI). IEEE, 2018. http://dx.doi.org/10.1109/icasi.2018.8394441.

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Reports on the topic "INVERTED PENDULUM SYSTEM"

1

Seto, Danbing, and Lui Sha. A Case Study on Analytical Analysis of the Inverted Pendulum Real-Time Control System. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada373286.

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