Bio-inspired Parallel Computing Structures for High Reliability Servomotor Control Applications

Taking inspiration from biological organism's cell based structure, the paper is focused on modeling and implementation of bio-inspired artificial hardware structures for high reliability industrial control applications. As it known, living organisms offers the ability to grow with fault-tolerance and self-repair. These remarkable capabilities can be associated with principles to engine complex novel VLSI systems (embryonic machines) which would be more advantageous in many control applications where robustness and high reliability requirements are imposed. The theoretical approaches and developed artificial models were acquired in hardware redundant embryonic structure, built on a FPGA-based artificial cell network topology. In order to improve the developed embryonic system real-time control capabilities, also parallel computing techniques were implemented. The computer simulations and laboratory experimental results prove the validity of the previous theoretical assumptions and considerations.