The next evolution in industrial automation: Self-aware motion control

The next evolution in industrial automation requires a machine independently to adapt its performance parameters to complete an assigned task from a factory operator, or reconfigure itself to optimise its behaviour based on input from a productivity-enhanced artificial intelligence (AI) observer algorithm.

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The value of a self-aware machine is its ability to maximise productivity, extend the operational lifespan of equipment, and reduce maintenance costs.

The
journey to self-aware motion control

Self-awareness describes a system with knowledge of itself, based on an understanding of its capabilities and the system's performance
goals. Self-aware motion control systems require the implementation of multiple control layers that interpret sensor inputs and desired system parameters, and provide the capability to
compare their operational behaviour with the desired system performance. 

To accomplish these goals and create self-aware motion control systems, we need to create an
adaptive motion control agent to monitor the system's actions and dynamically adapt its performance, based on the drive system's work environment. 


Read the full article in DPA's March issue





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