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机构地区:[1]杭州电子科技大学自动化学院,浙江杭州310018
出 处:《机电工程》2008年第5期96-99,共4页Journal of Mechanical & Electrical Engineering
摘 要:由于泵式中和过程具有强非线性、大时滞、大惯性特性,使常规PID控制显得不甚理想;将基于紧格式线性化的SISO非线性离散时间系统的无模型学习自适应控制方法应用在泵式中和pH值控制中,其在线调整参数少,只需通过对象输入/输出信息在线导出。通过大量仿真,验证了该方法能有效克服大时滞、大惯性、强非线性等控制难点,且具有响应快速、控制精度高等优点。According to extraordinary nonlinear, long time-delay and large-inertia characteristics in single-step neutralization process. It's difficult to be accurately controlled by conventional PID controller. The model-free adaptive control approach of a class of SISO nonlinear discrete-time systems based on linearization of tight format was applied to the pH process control. In the new controller, there were few parameters derived on-line from the input and output information of the acid-bases neutralization process system using a novel parameter estimation algorithm. The simulation control results show that the algorithms exhibit such advantages as anti-time-delay, anti-large-inertia, quick response, and high control accuracy.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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