Intelligent Adaptive Backstepping Controller Design Based on the Adaptive Particle Swarm Optimization

摘要：

An improved adaptive backstepping controller design method is proposed for a single input and single output nonlinear system with uncertainty and unknown parameter. The controller expression with undetermined parameters can be acquired by using adaptive backstepping design idea, and the controller parameters are optimized on using the adaptive particle swarm optimization (APSO). The backstepping controller can overcome the plant uncertainties and ensure the robust stability of system. The APSO is used to offset the disturbance and improve the tracking precision. Simulation experimental showed the method effectual.

关键词： Uncertainty and unknown parameter Adaptive Backstepping Adaptive Particle Swarm Optimization

作者: Xie Xiaozhu Liu Zaozhen Cui Weining

作者单位: Department of Information Engineering, Academy of Armored Force Engineering, Beijing 100072 School of Space Navigation Technology, Beijing Institute of Technology, Beijing 100081

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 13-17

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）