典型证据权重计算方法存在只有少数传感器判断正确而多数判断错误的高冲突证据的加权D-S决策融合问题,针对此问题,提出一种基于故障敏感度的证据权重计算方法。首先,通过核函数主元分析(kernel principal component analysis,简称KPCA)...典型证据权重计算方法存在只有少数传感器判断正确而多数判断错误的高冲突证据的加权D-S决策融合问题,针对此问题,提出一种基于故障敏感度的证据权重计算方法。首先,通过核函数主元分析(kernel principal component analysis,简称KPCA)提取非线性的敏感特征;其次,基于故障检测原理计算该特征的故障敏感度,并将其作为传感器的故障敏感度;最后,计算得到基于故障敏感度的传感器决策权重,并将该权重及等权重法和基于决策距离方法的权重共同应用于转子故障模拟实验台的融合检测与诊断中。结果表明,该方法能对故障敏感、包含故障信息多的传感器赋予更高的权重值,提高其决策地位和作用,反之则赋予较小的权重,"弱化"其决策地位和作用。通过证据权重的"调节"作用,使得该方法无论是在只有少数传感器发现故障的证据高冲突情况还是在冲突不大或无冲突时,均取得了更好的决策融合结果。展开更多
Aiming at a class of systems under parameter perturbations and unknown external disturbances, a method of fuzzy robust sliding mode control was proposed. Firstly, an integral sliding mode surface containing state feed...Aiming at a class of systems under parameter perturbations and unknown external disturbances, a method of fuzzy robust sliding mode control was proposed. Firstly, an integral sliding mode surface containing state feedback item was designed based on robust H∞ control theory. The robust state feedback control was utilized to substitute for the equivalent control of the traditional sliding mode control. Thus the robustness of systems sliding mode motion was improved even the initial states were unknown. Furthermore, when the upper bound of disturbance was unknown, the switching control logic was difficult to design, and the drawbacks of chattering in sliding mode control should also be considered simultaneously. To solve the above-mentioned problems, the fuzzy nonlinear method was applied to approximate the switching control term. Based on the Lyapunov stability theory, the parameter adaptive law which could guarantee the system stability was devised. The proposed control strategy could reduce the system chattering effectively. And the control input would not switch sharply, which improved the practicality of the sliding mode controller. Finally, simulation was conducted on system with parameter perturbations and unknown external disturbances. The result shows that the proposed method could enhance the approaching motion performance effectively. The chattering phenomenon is weakened, and the system possesses stronger robustness against parameter perturbations and external disturbances.展开更多
文摘典型证据权重计算方法存在只有少数传感器判断正确而多数判断错误的高冲突证据的加权D-S决策融合问题,针对此问题,提出一种基于故障敏感度的证据权重计算方法。首先,通过核函数主元分析(kernel principal component analysis,简称KPCA)提取非线性的敏感特征;其次,基于故障检测原理计算该特征的故障敏感度,并将其作为传感器的故障敏感度;最后,计算得到基于故障敏感度的传感器决策权重,并将该权重及等权重法和基于决策距离方法的权重共同应用于转子故障模拟实验台的融合检测与诊断中。结果表明,该方法能对故障敏感、包含故障信息多的传感器赋予更高的权重值,提高其决策地位和作用,反之则赋予较小的权重,"弱化"其决策地位和作用。通过证据权重的"调节"作用,使得该方法无论是在只有少数传感器发现故障的证据高冲突情况还是在冲突不大或无冲突时,均取得了更好的决策融合结果。
基金Project(51476187)supported by the National Natural Science Foundation of China
文摘Aiming at a class of systems under parameter perturbations and unknown external disturbances, a method of fuzzy robust sliding mode control was proposed. Firstly, an integral sliding mode surface containing state feedback item was designed based on robust H∞ control theory. The robust state feedback control was utilized to substitute for the equivalent control of the traditional sliding mode control. Thus the robustness of systems sliding mode motion was improved even the initial states were unknown. Furthermore, when the upper bound of disturbance was unknown, the switching control logic was difficult to design, and the drawbacks of chattering in sliding mode control should also be considered simultaneously. To solve the above-mentioned problems, the fuzzy nonlinear method was applied to approximate the switching control term. Based on the Lyapunov stability theory, the parameter adaptive law which could guarantee the system stability was devised. The proposed control strategy could reduce the system chattering effectively. And the control input would not switch sharply, which improved the practicality of the sliding mode controller. Finally, simulation was conducted on system with parameter perturbations and unknown external disturbances. The result shows that the proposed method could enhance the approaching motion performance effectively. The chattering phenomenon is weakened, and the system possesses stronger robustness against parameter perturbations and external disturbances.
