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摘要生物质能作为实现可持续发展的非常重要的新能源之一,在其生产和利用过程中可以显著降低二氧化碳的排放.甲烷作为极重要的有机化工原料和洁净燃料，制取甲烷的研究日益受到重视。本课题是根据生物有机垃圾高效厌氧制甲醇系统的非线性、复杂性和大量未知参数等特性，重点研究开发无模型优化控制策略，提高甲烷生产的产气量。65296
本文提出了一种新的针对搅拌生物反应釜甲烷发酵过程中轨迹跟踪复合自适应控制器（CAC）。该生物过程是由一个二阶非线性模型来描述。该控制器包括一个基于代数微分方程估计（ADE）和一个不需要被控物理模型参数知识的基于递归无模型控制器的镇定单元（RMFC)。所提出的控制可以实现自变设置点轨迹跟踪，并且优于现有的厌氧消化方法。
为证明所设计的复合自适应控制器的优于其他控制器的控制性能。本文还设计了经典PID控制模块，非线性比例积分NPI模块，同时对这三个控制器通过Matlab里面的Simulink根据算法搭建模型进行建模仿真。并且比较它们在有无噪声干扰两种情况下的控制结果。同时，还结合计算机监控技术，研究设计了针对该甲烷制备过程中对反应釜中温度和甲烷浓度的监控报警系统。最后还对反应釜中潜在的火源进行了监控，确保厌氧消化生产过程安全进行。
毕业论文关键词 无模型优化控制 复合自适应控制器 厌氧消化 监控报警系统
毕业设计说明书（论文）外文摘要
Title Model Free Control Research for efficient anaerobic biomass of methanol synthesis technology
Abstract
Biomass energy is one of the most important energy in sustainable development, in its production and use can significantly reduce co2 emissions. In the process of methanol as a very important organic chemical raw materials and clean fuel, methanol research is paid more and more attention. This topic is according to the biological organic waste anaerobic methanol synthesis system of nonlinear, complexity, and the large number of unknown parameters characteristics, focus on research and development model optimization control strategy, improve the yield of methanol production capacity.
This paper presents a new Composed Adaptive Controller (CAC) for trajectory tracking of a methane fermen-tation process in stirred tank bio-reactors. The referred biotech-nological process is described by a second-order non-linear model based one-stage reaction scheme. The proposed con-troller comprises an Algebraic Differential Estimation (ADE) based compensation component and a Recursive Model Free Controller (RMFC) stabilization component which dos’t require any knowledge of the physical model parameters. The proposed entire control enables trajectories tracking of a vari-able set point trajectory and over performs the existing anaero-bic digestion control schemes.
To prove the design of complex adaptive controller excellent performance and robustness than other controllers, this paper also designed the classic PID control module, nonlinear proportional integral NPI module, while the three controller via Matlab / Simnlink for modeling and simulation. And compare them with or without noise control result in both cases. It also use computer monitoring technology, research and design process for the preparation of methane on the reactor temperature and methane concentration monitoring alarm system. Finally, on the reactor potential ignition sources were monitored to ensure safety of the production process for anaerobic digestion.
Keywords Model Free optimization control Composed Adaptive Controller (CAC)
Anaerobic digestion Monitoring alarm system
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