Path Planning of Hydraulic Support Pushing Mechanism Based on Extreme Learning Machine and Descartes Path Planning

As a floating system connecting hydraulic support and scraper conveyor, the path planning of pushing mechanism is great significance for their coordinated movement. In this paper, method based on extreme learning machine (ELM) Descartes proposed. According to motion characteristics moving mechanism, it transformed into industrial robot model, coordinates key points ear seat conveyor when advancing, prediction ELM proposed, so target location end-effector obtained. The joint determined by polynomial partition method. modified Gaussian filtering method, peak value obtained filtered out, correction realized. Finally, virtual simulation test carried out in Unity3D. planned coordinate curve has Poisson-like distribution approximately around curve, local error are within 2 cm 0.1 cm, respectively. combining better effect.