Abstract

A cart inverted pendulum is an under actuated system that highly unstable and nonlinear. Therefore, it makes a good problem example which attracts control engineers to validate the developed control algorithms. In this paper, an augmented PID control algorithm is proposed to stabilise a cart inverted pendulum at the desired state. The derivation of a mathematical model of the cart inverted pendulum using Lagrange's equation is discussed in detail. The system dynamics is illustrated to understand better the behaviour of the system. A simulation program has been developed to verify the performance of the proposed control algorithm. The system dynamic behaviours with respect to the variation of the controller parameters are analysed and discussed. Controllers parameters are expressed into two PID gain sets which associated with 2 dynamic states: the cart position (ϰ) and the pendulum angle (θ). It can be concluded from the simulation result that the proposed control algorithm can perform well where acceptable steady errors can be achieved. The best response from the cart inverted pendulum system has been obtained with the value of kPX 190, kDX 50, kIX 5, kPθ 140, kDθ 5, and kIθ 25.

Highlights

  • The Cart Inverted Pendulum is an example of a nonlinear [1], unstable [2] and under actuated system [3]

  • The cart-inverted pendulum is a system that usually used for testing many control algorithms [5]

  • There are some control algorithms that can be used for stabilising a cart-inverted pendulum such as Linear Quadratic Regulator (LQR) [6], neural network [7], genetic algorithm [8], fuzzy control [9], and PID [10] which have been studied by many researchers

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Summary

Introduction

The Cart Inverted Pendulum is an example of a nonlinear [1], unstable [2] and under actuated system [3]. The cart-inverted pendulum is a system that usually used for testing many control algorithms [5]. There are some control algorithms that can be used for stabilising a cart-inverted pendulum such as Linear Quadratic Regulator (LQR) [6], neural network [7], genetic algorithm [8], fuzzy control [9], and PID [10] which have been studied by many researchers. An augmented PID control scheme is proposed for stabilising a cart inverted pendulum in this work. The mathematical model for cart and pendulum is derived by Lagrange Equation.

Lagrange’s equation
Open and closed loop control
Cart-inverted pendulum with PID
The cart of cart inverted pendulum system
The pendulum of cart inverted pendulum system
Simulation and result
Conclusions
Full Text
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