Control Of Double Inverted Pendulum Research Articles

Pollen Rate Based Control and Stabilization of Double Inverted Pendulum

Naturally inspired Flower pollination unconstrained optimization method is applied for the stabilization of the double inverted pendulum control problem as part of this study which is a novelty. The optimization was applied under the influence of time delay and have proven that the influence of time delay is significantly felt and would cause loss of energy, however the presence of flower pollination for optimization minimizes the loss incurred due to time delay and makes the system significant in terms of sensitivity. The influence on settling time and peak overshoot are studied and are compared for performance with and without time delays. The developed strategy paves way to the analysis of complex dynamic systems wherein the controller design when designed using naturally inspired algorithm would make the system energy efficient.

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 accuracy and control performance, fully embodies the ANFIS system control nonlinear Advanced systems.

Stability analysis of networked control system based on quasi T-S fuzzy model

This study presents a quasi T-S fuzzy model to represent networked control systems (NCS), which takes the performance of network with time-delay and data packet dropouts into the investigations. Representing the probability of the time-delay and the data packet dropouts in networks as the degree of membership, then according to the data packet dropouts in different node of system, this study constructs the corresponding system model, in which the system’s stability is proved with linear matrix inequality (LMI). As a bench test, a double inverted pendulum control system is selected to demonstrate the feasibility and efficiency through numerical analysis. This study provides a new method of analysing and designing networked control systems.

Hardware implementation of the quadruple inverted pendulum with single motor

Inverted pendulums are always used to verify some qualities and effect of certain control theory or method. Single or double inverted pendulum control system has been extensively studied for education and research purposes. However how to control a triple inverted pendulum is a difficult problem, which just a couple of control experts can solve including us. Undoubtedly, to implement controlling of a quadruple inverted pendulum is a very difficult problem, but we first successfully accomplished it using variable universe adaptive fuzzy control method in August, 2002. In this paper, a controller for a quadruple inverted pendulum is demonstrated using the variable universe adaptive fuzzy control theory.

Discrete-Time Adaptive Servo Control System Identifying the Internal Model and its Application to a Double Inverted Pendulum Control.

For servo systems with unknown reference inputs, this paper proposes an adaptive servo control system identifying the unknown reference signal model. The controller is for a discrete-time, single-input single-output plant. According to the internal model principle of servo control systems, it is neccessary to include the model of a reference input in the servo controller. The servo controller proposed in this paper includes a model identified on-line as the internal model. The design is based on coprime factrization of the plant model over the ring of stable rational functions. It is proved that all internal signals in the control system, error equations and parameter identification law are uniformaly bounded. The scheme is applied to the cart position control of a double inverted pendulum control system.