Title :
Low power, high PVT variation tolerant central pattern generator design for a bio-hybrid micro robot
Author :
Lu, Jing ; Yang, Jing ; Kim, Yong-Bin ; Ayers, Joseph
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
This paper presents a low power circuit design for an electronic nervous system composed of central pattern generator (CPG) to control a biomimetic robot that mimics the lamprey swimming system. The circuit has been designed using 65nm CMOS technology model at 0.8V supply. The design challenges of narrow voltage design margin and high sensitivity to parameter variation are addressed by circuit optimization techniques as well as amplitude and time parameter scaling. The electronic CPG consists of electronic neurons connected through electronic synapses, where the behaviors of the neuron and synapse adopt Hindmarsh-Rose (HR) dynamics to replicate biological neurons and a first order chemical synapse model is utilized to achieve active synapses. The simulation results validate the electronic CPG performance at 0.8V supply voltage with parameter variation tolerance of 5% dissipating 3.28mW. The die size of the chip is 1.1mm2 including I/O pads.
Keywords :
CMOS integrated circuits; biomimetics; circuit optimisation; low-power electronics; microrobots; mobile robots; neurocontrollers; CMOS technology model; Hindmarsh-Rose dynamics; I/O pads; active synapse; amplitude scaling; biohybrid microrobot; biological neuron replication; biomimetic robot control; chip die size; circuit optimization technique; electronic CPG; electronic nervous system; electronic neurons; electronic synapses; first order chemical synapse model; lamprey swimming system; low power circuit design; low power high PVT variation tolerant central pattern generator design; narrow voltage design margin; neuron behavior; parameter variation sensitivity; size 65 nm; synapse behavior; time parameter scaling; voltage 0.8 V; Biological system modeling; CMOS integrated circuits; Generators; Integrated circuit modeling; Mathematical model; Neurons; Robots;
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2012.6292137