Hybrid intelligent joint controller for humanoid robot

摘要

The requirements for humanoid robot joint controller include small size, low dissipation, high control precision and response speed. Aimed at these requirements, a new control strategy that combines fuzzy PD control with single neuron self-adapting PID control is proposed. Experiments show that this control strategy could improve response speed, control precision and robustness.