Data-Driven Skill-Based PID Control of a Pilot-Scale Helicopter Model

Lots of works for representing human skills which are cultivated in long experiences have been reported. The technique for representing human skills plays an important role in various industries, for example, manufacturing systems, production systems and process systems. In this paper, a skill-based PID controller is newly proposed, which extracts skills of human experts as PID gains. This controller is designed by using a data-driven (DD)control approach. The DD approach is based on the local modeling, and attracted attention as a useful tool to express the nonlinear model. The effectiveness of the proposed skill-based PID control scheme is experimentally investigated by employing for a helicopter control model.

[1]  Hidenori Kimura,et al.  A New Just-In-Time Modeling Method and Its Applications to Rolling Set-up Modeling , 2001 .

[2]  H. Harry Asada,et al.  Adaptive control of deburring robots based on human skill models , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[3]  M. Birattari,et al.  Lazy learning for local modelling and control design , 1999 .

[4]  Toru Yamamoto,et al.  A Skill-Based PID Controller Using Artificial Neural Networks , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).