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Vol. 133, Issue 10, October 2011, pp.74-82




Balancing Inverted Pendulum by Angle Sensing Using Fuzzy Logic Supervised PID Controller Optimized
by Genetic Algorithm


1 Ashutosh K. AGARWAL, 2 Sanjeev KUMAR

1 Department of Electronics & Communication Engineering, Krishna Engineering College,

Ghaziabad, 201009, India

Tel.: +919999645463

2 Department of Mechanical Engineering, Ajay Kumar Garg Engineering College,

Ghaziabad, 201007, India

Tel.: +919818187936

E-mail: ashutosh@blueink.in, s.kumar@akgec.org



Received: 2 July 2011   /Accepted: 25 October 2011   /Published: 31 October 2011

Handbook of Laboaratory Measurements book


Abstract: Genetic algorithms are robust search techniques based on the principles of evolution. A genetic algorithm maintains a population of encoded solutions and guides the population towards the optimum solution. This important property of genetic algorithm is used in this paper to stabilize the Inverted pendulum system. This paper highlights the application and stability of inverted pendulum using PID controller with fuzzy logic genetic algorithm supervisor . There are a large number of well established search techniques in use within the information technology industry. We propose a method to control inverted pendulum steady state error and overshoot using genetic algorithm technique.


Keywords: Inverted pendulum, Robotic arm, Genetic algorithm, Fuzzy logic, PID controller


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