Design and simulation of fractional order PID controller for an inverted pendulum system

Author(s):  
Shuhua Jiang ◽  
Mingqiu Li ◽  
Chunyang Wang
2018 ◽  
Vol 7 (2.21) ◽  
pp. 29
Author(s):  
Deep Mukherjee ◽  
Palash Kumar Kundu ◽  
Apurba Ghosh

This paper presents a new way to design MIT rule as an advanced technique of MARC (Model Adaptive Reference Controller) for an integer order inverted pendulum system. Here, our work aims to study the performance characteristics of fractional order MIT rule of MARC controller followed by optimal fractional order PID controller in MATLAB SIMULINK environment with respect to time domain specifications. Here, to design fractional order MIT rule Grunwald-Letnikov fractional derivative calculus method has been considered and based on Grunwald-Letnikov fractional calculus rule fractional MIT rule has been designed in SIMULINK. The proposed method aims finally to analyze overall desired closed loop dynamic performance on inverted pendulum with different performance criteria and to show the desired nature of an unstable system over optimal fractional order PID controller. 


2019 ◽  
Vol 8 (1) ◽  
pp. 18-30
Author(s):  
Deep Mukherjee ◽  
Palash Kundu ◽  
Apurba Ghosh

In this article, a stability analysis on an inverted pendulum system has been approached using a fractional order PID controller and a fractional order-based model reference adaptive controller. A modified MIT rule provides an extra degree of freedom, unlike an MIT rule of MRAC controllers to stablize the pendulum angle of the inverted pendulum system which is highly unstable in nature. Here, to analyze better stability performance of the inverted pendulum over the fractional order MIT rule of MRAC controller optimal fractional order, a PID controller has been approached and FMINCON numerical optimization algorithm has been chosen to optimize the fractional order PID controller using ITSE as a scaler objective function. Next, the behaviourial characteristics of the pendulum have been compared between the FMINCON-based FOPID controllers and the fractional order MIT rule of the MRAC controller to show robust performance using an optimal FOPID controller with respect to performance indices increases time, settling time, followed by errors ISE, IAE, ITSE.


Author(s):  
Cemilcan Macit ◽  
Banu Ataslar Ayyildiz

Issue of balance in robotics is best represented by the balancing act of the inverted pendulums. With their unstable and nonlinear behaviour, Inverted Pendulum systems are quite popular systems in which various control design methods are applied and performance comparisons are carried out. In this study, in order to control the pendulum angle and car position of the inverted pendulum system, a fractional order PID controller is designed. Gains of the designed controller are optimized by Particle Swarm Optimization method. On the other hand, for the aim of comparison of performance, conventional PID controllers are used for controllers. The optimum values of gains for PID controllers are also found by same optimization algorithm. The simulation results of both controllers are compared for the inverted pendulum.


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