منابع مشابه
ANFIS Control Double-Inverted Pendulum
For double inverted pendulum multivariable, strong coupling and nonlinear proposed adaptive fuzzy neural inference system (ANFIS) is applied inverted pendulum stabilization control process. Adaptive control algorithm, fully able to meet the requirements of double inverted pendulum control, ANFIS system after training, will be applied to the inverted pendulum system controller has better control...
متن کاملDouble Pendulum
The double pendulum is a classic dynamical system, capable of chaotic behavior in a four-dimensional phase space. The driven case introduces even more peculiar behaviors and opens the possibility for stable folded modes. In this paper, we explore the double pendulum in both driven and undriven cases through experimental observation and simulations, focusing on time-to-flip as a major measure of...
متن کاملOptimal Control of Double Inverted Pendulum Using LQR Controller
Double Inverted Pendulum is a nonlinear system, unstable and fast reaction system. Double Inverted Pendulum is stable when its two pendulums allocated in vertically position and have no oscillation and movement and also inserting force should be zero. The aim of the paper is to design and performance analysis of the double inverted pendulum and simulation of Linear Quadratic Regulator (LQR) con...
متن کاملOptimal Control of a Double Inverted Pendulum on a Cart
In this report a number of algorithms for optimal control of a double inverted pendulum on a cart (DIPC) are investigated and compared. Modeling is based on Euler-Lagrange equations derived by specifying a Lagrangian, difference between kinetic and potential energy of the DIPC system. This results in a system of nonlinear differential equations consisting of three 2-nd order equations. This sys...
متن کاملControl of Inverted Double Pendulum using Reinforcement Learning
In this project, we apply reinforcement learning techniques to control an inverted double pendulum on a cart. We successfully learn a controller for balancing in a simulation environment using Qlearning with a linear function approximator, without any prior knowledge of the system at hand. We do however fail to learn a controller for the swingup maneuver, which leads to a discussion on what mig...
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ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 1990
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.56.431