Dynamic Simulation,Optimal Design and Control of Pyramid Static Mixers

• Main Authors: Wei-chuan Siao, 蕭偉銓
• Other Authors: Chyi-Tsong Chen
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/18277503221805742265

碩士 === 逢甲大學 === 化學工程學所 === 97 === This thesis considers the dynamics simulation, opimal design and control of the Pyramid static mixer. A finite element method is use to solve the govern equations which includes Navier-Stokes equations, species mass balance equations and applied to investigate the key factors that affect the mixing efficiency of the Pyramid static mixer. For optimal design, a neural network model is built and a real-code genetic algorithm is utilized to search for the optimal design parameters. Extensive simulation results reveal that the proposed dynamic simulation method as well as the optimal design scheme present to be an effective tool for the design of the Pyramid static mixer. For mixing process of the Pyramid static mixer, a direct adaptive control scheme is proposed. An output-bounded single neuron controller with its associated learning algorithm is utilized for the direct adaptive control of the process by merely observing the process output error, even though the process dynamics is characterized by partial differential equations. Extensive simulation results reveal that the propose model-free control strategy is superior to IMC-PI control strategy. From the significant results presented in this thesis, it is believed that the proposed optimal design and control strategies can substantially enhance the effectiveness and performance of Pyramid static mixer.