| Tolerant control in the design of reliable control is a major reliable method. Active, passive tolerance, which is a branch fault tolerance methods. Larger energy consumption, increasing the system design process conservative, tolerant control is actually produced in the state. For uncertain system, the system of uncertainties with negligible nature and can not be ignored, although the development of uncertain systematic study of uncertainties which can be processed to ensure the robust stability, but it did not really research and analysis system uncertainties uncertainties of each gain deviation tolerance intervals. To address the adverse consequences of solving reliable control after reliable design makes the generation of hardware redundancy. Hardware redundancy refers to the increase in the number of key system components, the use of the same components as the signal acquisition system using the same channel or multi-channel actuators to achieve reliable system control tasks. The number of redundant components of each channel depends to some extent on the performance of components affecting the system, so the impact of the various components of the system, the degree of ordering is very important problem. Currently, the issue of tolerance interval analysis has not been studied abroad, mainly domestic research in this aspect of the problem is Professor Wang Fuzhong and its students, the main research areas are as follows:(1) Based on the configuration of the actuator disc pole gain deviation tolerance intervals analysis.(2) Performance tolerance intervals having a disk pole constraints analysis.(3) the implementation of tolerance intervals gain fluctuation analysis. Uncertain systems uncertainties impact on the system than the actual level of research research value, but are not sure the system uncertainties Concealment Interval Analysis rare in the literature. This paper studies a class of uncertain term interval intolerance restraint system has several proposed system concept uncertainties term gain deviation tolerance range. Single, double entry mathematical model uncertainties bias application system based on disk pole placement algorithms in tolerance intervals to be given uncertainties. Referring to the uncertainties of tolerance interval data, the system designer can determine the relative influence of each of the closed-loop system uncertainties, can that save energy waste according to its degree of influence, engineering designs can also be designed for a higher safety performance system. A numerical simulation example shows the feasibility of the method. The fourth section of this paper gives the system state feedback controller is designed to ensure that the system is mixed faults have occurred so that the closed-loop pole placement in the designated area oval dish. Referring simulation example, you can determine the effectiveness of reliable controllers. |
