a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative (PID) parameters for petrochemical processes. This retains the advantages of genetic...a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative (PID) parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.展开更多
开发一套船模试验动力定位控制系统,系统控制器基于低通+陷通滤波算法、专家比例-积分-微分(Proportional Integral Differential,PID)控制算法、序列二次规划(Sequence Quadratic Programming,SQP)算法设计而成。将该系统应用于风浪中...开发一套船模试验动力定位控制系统,系统控制器基于低通+陷通滤波算法、专家比例-积分-微分(Proportional Integral Differential,PID)控制算法、序列二次规划(Sequence Quadratic Programming,SQP)算法设计而成。将该系统应用于风浪中动力定位船模试验,测试船模运动、7个全回转推进器推力和角度响应,结果表明该控制系统具有合理性和有效性。展开更多
文摘a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative (PID) parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.
文摘开发一套船模试验动力定位控制系统,系统控制器基于低通+陷通滤波算法、专家比例-积分-微分(Proportional Integral Differential,PID)控制算法、序列二次规划(Sequence Quadratic Programming,SQP)算法设计而成。将该系统应用于风浪中动力定位船模试验,测试船模运动、7个全回转推进器推力和角度响应,结果表明该控制系统具有合理性和有效性。