将模糊推理机制引入到专家PID系统,提出了基于模糊推理的专家PID控制器,定义了规则触发度、指标符合度等概念,其推理规则表达简洁规范,使整个专家系统能够以并行触发的方式工作,即使在整定失败的情况下也可以使用一个次优参数替代,克服了一般专家PID系统存在无法找到满足性能指标参数导致整定失败的缺点.以典型控制对象进行仿真验证,结果表明本方法在PID控制器参数的自整定应用中的有效性和实用性.
After rule's degree of trigging and target's degree of satisfaction were defined, an expert PID system utilizing fuzzy inference mechanism with brief inference rulers was introduced. The rules can be trigged simultaneously and the suboptimal parameters can be alternated in the case of the failure of reasoning which is the general PID expert system's shortcoming. A typical plant is adopted to verify the effectiveness of this method and the simulation was done by Matlab.