NDLI: FPGA Control of a Mobile Inverted Pendulum Robot

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FPGA Control of a Mobile Inverted Pendulum Robot

Content Provider	Open Access Library (OALib)
Author	Bikram Adhikari Deepak Gurung Giresh Singh Kunwar Prashanta Gyawali
Abstract	The inverted pendulum is a classic problem in dynamics and control theory due to its inherently unstable nature. In the system tested, Field Programmable Gate Arrays (FPGAs) are used for the implementation of control and sensor fusion algorithms in the inertial navigation system of a Mobile Inverted Pendulum (MIP) robot. Additionally, the performance of digital PID control and Kalman filter algorithms are tested in this FPGA system. The test platform for tuning Kalman filter is designed using optical encoders as a standard reference. PWM signal generation and quadrature phase decoding of encoder pulses is accomplished using hardware description language in FPGA. The values from the inertial sensors and quadrature phase decoded values are fed into MicroBlaze, a 32-bit soft-core RISC processor, within the FPGA. The overall system demonstrates the use of low cost inertial sensors to balance a two wheeled robot. The system is presently able to balance on its own and it also serves as an extremely reconfigurable FPGA based platform to facilitate future modifications, updates and enhancements with more complex control and sensor fusion techniques. Key Terms : Mobile Inverted Pendulum System; Inverted Pendulum Robot; Inertial Navigation System; FPGA; Kalman Filter; PID Control; Soft-core Processor DOI: http://dx.doi.org/10.3126/jie.v8i1-2.5111 Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011 Page: 188-196 Uploaded Date : 20 July, 2011
Starting Page	188
Ending Page	196
Page Count	9
ISSN	18103383
Journal	Journal of the Institute of Engineering
DOI	10.3126/jie.v8i1-2.5111
Publisher	Tribhuvan University Teachers Association
Publisher Date	2011-01-01
Access Restriction	Open
Subject Keyword	Mobile Inverted Pendulum System Kalman Filter PID Control Inverted Pendulum Robot FPGA Soft-core Processor Inertial Navigation System
Content Type	Text
Resource Type	Article

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