SYSYNov 16, 2016

Single Chip Self-Tunable N-Input N-Output PID Control System with Integrated Analog Front-end for Miniature Robotics

arXiv:1611.051648 citationsh-index: 19
Originality Synthesis-oriented
AI Analysis

It addresses the need for compact, low-power, real-time control in miniature robotics, but the results are incremental as it applies existing PSO tuning to an integrated multi-channel design.

This work presents a single-chip multi-channel PID control system with integrated analog front-end and PSO-based self-tuning, achieving low power and real-time tuning for three different plants (DC motor, temperature sensor, gyroscope).

In this work, we explore the design of an integrated, low power single chip multi-channel Proportional-Integral-Derivative (PID) controller for emerging miniature robotics, that includes N inputs and N corresponding outputs thereby resulting in N parallel channels in the control system. It includes analog front-end (AFE) and analog PID controllers for PID parameter tuning based on PSO algorithm. The AFE incorporates adaptive biasing to ensure low power. The PSO is optimized with respect to tuning precision, power and area. This makes it attractive for real-time tuning of multiple miniaturized robotic devices with a single PSO tuning algorithm block assigned for the task. For simulation and testing purposes, we take N as 3 with the channels being defined by their application-ends or plants, namely: dc motor, temperature sensor and gyroscope.

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