The precision of the altitude measurement system installed in some type airplane does not fulfill the need of the airborne equipment, this paper propose a method based on the federated filter which utilizes the data of the air data computer system (ADS), inertial navigation system (INS) and the GPS to improve the precision and stability of the altitude output. The results of simulation show that the algorithm takes full advantage of all of the sub-system, which reduces the error of the ADS and improves the altitude output precision. Meanwhile the method may separate some faulted sub-system (e.g. GPS) and reform the system, which renders the system better fault tolerant and real-time performance.
In this paper, it describes a DSP-based TMS320F28335 high-precision temperature control systems and explains its construction and principle. ADC which is integrated within DSP processes the collect temperature and double-controller algorithm controls the PWM output, the temperature can be set faster and more accurate. Simulation obtains two controller output stability, regulation faster, and getting a good robustness.
Carrier-based Aircraft closely watched as the aircraft carrier weapons, storms and other factors affect the generated carrier swing to sway.This will enable the gyro measurement to the Earth's rotation angular velocity signal to noise ratio dropped significantly, giving the aircraft carrier's initialaligned to bring difficulties. To solve this problem, the Earth gravity acceleration in the inertial space the SINS independent coarse alignment, and gives the process of acceleration due to gravity points vector of analytic coarse alignment and fine alignment algorithm. Theoretical analysis and simulation results show that the moving base SINS alignment method can effectively solve the initial alignment of the aircraft carrier in the state of the ship mooring.
According to the problem of nonlinear and uncertainty in robot control, this paper proposes a PID control algorithm based on CMAC neural network model, for the elimination of the influence of uncertainty caused by robot system parameters and external disturbance. The simulation results show that this algorithm can effectively overcome the uncertainties and external disturbance of robot system model, this algorithm has good robustness and stability, its performance is superior to the traditional PID control algorithm.
Fuzzy adaptive filter and H∞ filter are introduced to solve the problem of low filter performance, which comes from uncertain noise caused by seawave and high frequence vibrancy. First, basic principles of the fuzzy adaptive filter and H∞ filter are formulated. Second, state space model of self-alignment for SINS of the carrier craft is built. Finally, according to each character, a comparison on results that Kalman filter, fuzzy adaptive filter and H∞ filter are applied to alignment for SINS of the carrier craft is made. Simulation results show that although Kalman filter has definite robustness to external uncertainty noise, weak anti-jamming ability and bad filter performance make self-alignment failed. Fuzzy adaptive filter and H∞ filter have strong ability to suppress external uncertain noise and can obtain good filtering accuracy. They both can complete self-alignment. Filtering accuracy and rapidity of fuzzy adaptive filter are better than those of H∞ filter, while robustness and curve smoothness of H∞ filter are stronger than those of other filters.
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