Design of Optimal Parameters for Improving Step Iterative Learning Control Using Taguchi Method

• Main Authors: Yi-Chan Hung, 洪翊展
• Other Authors: Jyh-Horng Chou
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/21761113254363924232

碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 102 === In this thesis, designs of optimal parameters for improving step iterative learning control using Taguchi Method is proposed. First of all, we introduce an iterative learning control algorithm with self-adaptive steps. The method determines steps to update control gain by error sum of the system. However, the relationship between error sum of the system and steps is not easy to obtain. Hence, we can’t set the control factors effectively to obtain optimal results after using Taguchi Method. Therefore, this thesis decides steps by individual errors and proposes a way which can convert between steps and individual errors. When the conversion is done and Taguchi Method is applied to design best parameters, we can construct the controller that has quick convergence speed and high control precision.