会议专题

Fuzzy PID Controller based on Improved Neural Network for Satellite Attitude

  In the field of satellite technology and its application,most of the satellite attitude control system uses PID control.However,the conventional PID control has certain limitations in large inertial system,nonlinear system and complex system.In order to overcome these problems,this paper puts forward a novel fuzzy PID controller by using the radial basis function neural network,genetic algorithm and Takagi-Sugeno fuzzy logic.Based on the dynamic model of the satellite attitude,the approach uses the rule from the improved fuzzy PID controller to ensure system stability.And the proposed control system is found to own many excellent performance of faster response speed,higher efficiency and smaller overshoot errors compared with the conventional PID control system.Finally,simulation results and comparative analysis are carried out to demonstrate that the proposed controller applied in the satellite attitude control system can effectively achieve attitude control and improve the response sensitivity.Therefore,it is feasible and effective in practical application to meet the demands of the Euler angles for satellite attitude control.

Attitude control Neural network Genetic algorithm Sugono fuzzy logic PID controller

Xin Wen Jiayi Wang

Shenyang Aerospace University, Shenyang, 110136, China;Nanjing University of Aeronautics and Astrona College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

国际会议

2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

秦皇岛

英文

1206-1211

2015-09-18(万方平台首次上网日期,不代表论文的发表时间)