Academic literature on the topic 'Rotational inverse pendulum'
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Journal articles on the topic "Rotational inverse pendulum"
Staicu, Stefan, Zhufeng Shao, Zhaokun Zhang, Xiaoqiang Tang, and Liping Wang. "Kinematic analysis of the X4 translational–rotational parallel robot." International Journal of Advanced Robotic Systems 15, no. 5 (September 1, 2018): 172988141880384. http://dx.doi.org/10.1177/1729881418803849.
Full textHE, SHOULING. "NEURAL ADAPTIVE CONTROL OF NONLINEAR MULTIVARIABLE SYSTEMS WITH APPLICATION TO A CLASS OF INVERTED PENDULUMS." International Journal of Neural Systems 12, no. 05 (October 2002): 411–24. http://dx.doi.org/10.1142/s0129065702001254.
Full textZhang, Dahai, Haocai Huang, Ying Chen, Haitao Zhao, and Wei Li. "State-Dependent Model of a Hydraulic Power Takeoff for an Inverse Pendulum Wave Energy Converter." Marine Technology Society Journal 49, no. 5 (September 1, 2015): 38–48. http://dx.doi.org/10.4031/mtsj.49.5.2.
Full textCao, Shou Qi, Shu Man Fu, and Zi Yue Wu. "Analysis of Hydrodynamic Model of Wave Energy Converter of Inverse Pendulum." Applied Mechanics and Materials 483 (December 2013): 223–28. http://dx.doi.org/10.4028/www.scientific.net/amm.483.223.
Full textZhang, Dahai, Wei Li, You Ying, Haitao Zhao, Yonggang Lin, and Jingwei Bao. "Wave energy converter of inverse pendulum with double action power take off." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 11 (January 31, 2013): 2416–27. http://dx.doi.org/10.1177/0954406213475760.
Full textChen, Xuechao, Qiang Huang, Zhangguo Yu, Jing Li, Gan Ma, Libo Meng, and Junyao Gao. "Realization of foot rotation by breaking the kinematic contact constraint." Robotica 34, no. 5 (July 25, 2014): 1059–70. http://dx.doi.org/10.1017/s0263574714002057.
Full textDuleba, I., and I. Karcz-Duleba. "Suboptimal approximations in repeatable inverse kinematics for robot manipulators." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 2 (April 1, 2017): 209–17. http://dx.doi.org/10.1515/bpasts-2017-0025.
Full textStawicki, Piotr, and Ivan Volosyak. "Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces." Brain Sciences 10, no. 10 (September 28, 2020): 686. http://dx.doi.org/10.3390/brainsci10100686.
Full textShkapov, P. M., A. V. Sulimov, and V. D. Sulimov. "Computational Diagnostics of Jacobi Unstable Dynamical Systems with the Use of Hybrid Algorithms of Global Optimization." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 4 (97) (August 2021): 40–56. http://dx.doi.org/10.18698/1812-3368-2021-4-40-56.
Full textDissertations / Theses on the topic "Rotational inverse pendulum"
Li, Bo. "Rotational Double Inverted Pendulum." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1375188910.
Full textJajtner, Jan. "Návrh vestavěného systému pro řízení výukového modelu rotačního kyvadla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232046.
Full textGerving, Corey Scott. "Dynamics of a spin-1 BEC in the regime of a quantum inverted pendulum." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47651.
Full textChen, I.-Zu, and 陳奕儒. "Upright and Position Control of Rotational Inverted Pendulum." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/27522073922034721477.
Full text國立中央大學
電機工程學系
85
In this paper we use Fuzzy Theory and design a Fuzzzy Controller to imply a new plane "Rotational Inverted Pendulum" . In order to control the Angel and Position of the Inverted Pendulum ,We must desige two controller for Angeland Position respectively and use "Inner and Outer loop" combining two controller.In the result we can make the Rotational Inverted Pendulum upright and locate in the position we set.
Ren, Su Yuh, and 蘇裕仁. "Control of Integral Sliding Mode Applied to Rotational Inverted Pendulum." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/11163903429797175787.
Full text國立交通大學
電機與控制工程系
89
Different from conventional inverted control, this paper designed an unstable、nonlinear and uncertain experimental plant─rotational inverted pendulum. It saves the use of space. It uses the integral sliding mode of the variable structure system to achieve desired points and positions. It is still few in internal and external researches at present that the system is regarded as a control plant. Most of them use Fuzzy theory、PID combined with sliding mode or Fuzzy combined sliding mode. This paper exerts the technique of the integral sliding mode. It provides some accomplishments for the control of rotational inverted pendulum (RIP).
Liao, Zheng-Chao, and 廖鉦超. "PC-based real-time control for rotational inverted pendulum systems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/70360294137834282545.
Full text國立臺灣海洋大學
電機工程學系
93
Abstract The main purpose of this thesis is to implement a PC-based real-time controller for a nonlinear unstable rotational inverted pendulum. With a fuzzy theory approach, a upward-and-balanced controller is designed first to force the inverted pendulum up forward by using the rotational arm position and angular angle measurements as feedback. Next, a balanced -controller with angular angle and velocity feedback is presented to achieve the up most top position by using a switching control strategy. MATLAB/SIMULINK simulation results, with a hardware-in-the-loop design philosophy, are also given.
Lin, Hou-Heng, and 林厚亨. "Control and design of rotation inverted pendulum system." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/69816148840739681522.
Full text大葉大學
自動化工程研究所
89
Inverted pendulum systems are nonlinear and unstable systems. They are usually used to verify the effectiveness of the proposed control schemes. This paper proposes two controllers in the inverted pendulum system. First one is to linearize this non-linear system and uses the linear theory to design a status feedback controller. Second one proposes a design method of Fuzzy Logic Controller with H-infinite (sub) Robust Control feature. A steady reference model was designed first. The input of this model was the angle of swinging arm and the output was the following angle of the inverted pendulum. One fuzzy system was used to simulate the non-linear dynamic part of this pendulum system. The Fuzzy logic controller with H-infinite (sub) Robust Control feature developed from this fuzzy system was used to force the angle of inverted pendulum to be coincided with the output of the reference model. When the error of these two became near zero, the inverted pendulum became inverted on the vertical position and the angle of swinging arm was close to the original zero position. According to the H-infinite (sub) Robust steady design technique, the error emerged in the fuzzy simulation process can be compensated. The bad effect resulting from this error can be suppressed within any intended ranges. Furthermore, a real swinging type inverted pendulum system was simulated in order to verify the effectiveness of the method proposed in this paper.
Chien, Po-Chen, and 簡伯丞. "Control for the Rotational Inverted Pendulum System with Particle Swarm Optimization Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/20844590421783705102.
Full text義守大學
電子工程學系碩士班
99
This paper is mainly aimed at a typical nonlinear and unstable Systems -- Rotational Inverted Pendulum System. The main purpose of this paper is to use Matlab Simulink with Fuzzy Controller and Particle Swarm Optimization, so that the Rotational inverted pendulum system is thrown on the pendulum stand upright. And this system is often used to validate a variety of control theory, because it is a nonlinear system. Using Fuzzy controller database, can be inverted pendulum system quickly return to upright positioning function, even if the interference of external forces, so that the fuzzy control system robustness, adaptability and practicality.
Chou, Yen-Ling, and 周晏鈴. "Analysis and control of a rotation inverted pendulum using dynamic structure fuzzy systems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/92093070197447064475.
Full text大葉大學
機電自動化研究所碩士班
92
Inverted pendulum systems are typical nonlinear and unstable systems. They are experimentation equipment which usually used to verify the feasibility of the control theory. This paper presents a dynamic structure fuzzy system for model reference adaptive control of nonlinear systems whose dynamic models are poorly understood. The dynamic structure fuzzy system is to reconstruct the unknown nonlinearities of the dynamic systems. In the dynamic structure system, the reference model provides closed-loop performance feedback for generating or modifying a fuzzy approximation knowledge base. The number of fuzzy rules can be either increased or decreased with time based on the required accuracy. The tracking error converges to the required precision through the adaptive control law derived by combining the dynamic structure fuzzy system and the Lyapunov synthesis approach. At last we simulate an inverted-pendulum system control demonstrate the effectiveness of our scheme.
Chang-WenYang and 楊景文. "Balance and Rotation Control of an Inverted Pendulum System with Control Moment Gyroscopes." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5zjzy5.
Full textBook chapters on the topic "Rotational inverse pendulum"
Wang, Dong, Xinjun Wang, and Liang Zhang. "Controller Design Based on LQR for Rotational Inverted Pendulum." In Advances in Intelligent Systems and Computing, 354–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62746-1_52.
Full textDuy, Vo Hoang, Dong Si Thien Chau, Vo Huu Hau, Phan Thai Hoa, and Tran Trong Dao. "Stabilization of the Rotational Inverted Pendulum Using Mixed H2/H ∞ PID Controller." In AETA 2013: Recent Advances in Electrical Engineering and Related Sciences, 445–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41968-3_45.
Full textRajeswari, K., P. Vivek, and J. Nandhagopal. "Swing up and Stabilization of Rotational Inverted Pendulum by Fuzzy Sliding Mode Controller." In Emerging Trends in Computing and Expert Technology, 415–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32150-5_40.
Full textDávila-Leyva, Luis Elias, and Ludovico Soto Nogueira. "Experimental Design to Analyze a Novel Stabilization Design of a Three-Wheel Vehicle." In Handbook of Research on Ergonomics and Product Design, 102–12. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5234-5.ch007.
Full text"4 Fuzzy Control for the Rotational Inverted Pendulum." In The Control Systems Handbook, 1267–78. CRC Press, 2018. http://dx.doi.org/10.1201/b10384-123.
Full textConference papers on the topic "Rotational inverse pendulum"
Benjanarasuth, Taworn, and Songmoung Nundrakwang. "Hybrid controller for rotational inverted pendulum systems." In SICE 2008 - 47th Annual Conference of the Society of Instrument and Control Engineers of Japan. IEEE, 2008. http://dx.doi.org/10.1109/sice.2008.4654969.
Full textShojaei, A. A., M. F. Othman, R. Rahmani, and M. R. Rani. "A Hybrid Control Scheme for a Rotational Inverted Pendulum." In 2011 European Modelling Symposium (EMS). IEEE, 2011. http://dx.doi.org/10.1109/ems.2011.79.
Full textWen-hua, Tao. "Control research for single rotation inverted pendulum." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280666.
Full textEini, R., and S. Abdelwahed. "Indirect Adaptive fuzzy Controller Design for a Rotational Inverted Pendulum." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431796.
Full textRani, Mohd Rahairi, Hazlina Selamat, Hairi Zamzuri, and Fauzan Ahmad. "PID controller optimization for a rotational inverted pendulum using genetic algorithm." In 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, 2011. http://dx.doi.org/10.1109/icmsao.2011.5775461.
Full textGerstmayr, Johannes, and Hans Irschik. "Control of an Elasto-Plastic Pendulum." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21600.
Full textGhanavati, Meysam, Saleh Mobayen, and Vahid Johari Majd. "A new robust model predictive control strategy for rotational inverted pendulum system." In 2011 International Siberian Conference on Control and Communications (SIBCON 2011). IEEE, 2011. http://dx.doi.org/10.1109/sibcon.2011.6072589.
Full textEini, Roja, and Sherif Abdelwahed. "Rotational Inverted Pendulum Controller Design using Indirect Adaptive Fuzzy Model Predictive Control." In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2019. http://dx.doi.org/10.1109/fuzz-ieee.2019.8859014.
Full textSanyal, Amit K., and Ambarish Goswami. "Dynamics and Control of the Reaction Mass Pendulum (RMP) as a 3D Multibody System: Application to Humanoid Modeling." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6086.
Full textDing, Hao, Zhiquan Zhou, Haodong Dang, and Zhanfeng Zhao. "Control Wheel Rotation Inverted Pendulum Control Based on Unscented Kalman Filter." In 2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP). IEEE, 2019. http://dx.doi.org/10.1109/icicsp48821.2019.8958540.
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