![]() You try to sense the surroundings, predict the best path in the direction of a goal, but take only one step at a time and repeat the cycle. This article will establish the basic fundamentals before picking up MPC. ![]() It is Model Predictive Control (MPC), which has taken years of researchers developing control strategies curated specifically for different applications. Though there is a lot of research with different optimal control strategies for requirements such as adaptive control and imitation control, one control strategy clearly stands out in the state of the art research in the domain. Typical industrial control strategies such as PD control and PID control can fail in guaranteeing many kinds of features. ![]() ![]() To add, most of these robot models are highly nonlinear making control strategies more difficult. Over the years, control systems for robotics systems have drastically changed to allow for more complex actions and nonlinear dynamics. Model predictive control is one strategy to allow for these more complex behaviors.Īll these applications involve either dynamic environments or dangerous inaccessible environments that do not allow for human intervention.
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