mbt schoenen online kopen Robust pole assignment s

lin06900 · Wysłany: Czw 5:50, 31 Mar 2011

Robust pole assignment self-tuning control algorithm

A) mine (a), (-2) 1 (A 1) + mine (a d) (-2) (a) j = a p (a 1) a 1)] ≤ C which,[link widoczny dla zalogowanych], curse,[link widoczny dla zalogowanych], a for a small constant, the noise variance. 2) Assume that (20) I () I (a) 0 (I 1) I left foot j. Then show that the move by the parameters of Yang or slowly varying parameter estimation result in deviation from the true value,[link widoczny dla zalogowanych], it should open the estimator for parameter tracking. There is a greater change when the parameters,[link widoczny dla zalogowanych], conditions 2) and 3) may have not met, changes should be put into forgetting factor algorithm. Parameter converges quickly. If the parameter changes in quick succession, then, ('a 1) array will remain higher value,[link widoczny dla zalogowanych], the valuation will track the parameters A,. This is a condition of the introduction of the changes stop forgetting factor assessment algorithm. When a certain accuracy estimator stop assessment. Possession of requested amendments to measures <left foot 2, the purpose of assessment is to stop the system after leaving some room for as long as the system drift in the allowed range, not revised the parameter. 3 digital simulation of the use of digital simulation technology holding self-tuning control algorithm of Lu, can be more intuitive description of the algorithm. Because any kind of real-time control object. Robust assessment of the actual objective has its limitations. Simulation, the model parameters obtained by identification. In order to facilitate comparison. Amplitude of the input signal are used for the l and 3, cycle 80 (the ocean stay period) square wave signal. The constant amplitude of the input signal is taken as 2. Spot machine noise (t) is set to w (O a (a 21nR (t-1) 'sin (2 ~ R ()) (23) the noise variance is taken as 0.1, set to lsI.3.1 Simulation model 1) and stable second-order non-minimum phase system Shuai; a 2) unstable second-order minimum phase systems. (S) a (25) 3) third-order system, Volume 17 No. 6 Trichosanthes Li Zhen and other bat} point configuration is robust control algorithm since the vessel 65. (S) ≠ Korea 3.2 thousand _ 『simulation curve 1) and stable second-order non-minimum phase system to track a square wave signal simulation curve (Figure 2) 20l0-l-2 Figure 2 Simulation of second-order system to track side Phi curve 2) unstable second order system, when the time constant mutation in the running process when the simulation curve (Figure 3): . . I ... ... .... k ... ... 1. . ... ~ I Change is constant: set = 55 = _ = _555 Ding Li Li b a = 3) unstable second order system, when the process gain, sudden changes in the operation of the simulation curve (Figure d): simulation set so that when the process gain The change is: 57 West = T dry dried can be _ == T = _ to = _4) Lan-order system to track a square wave signal simulation curve (Figure 5): Figure 5, third-order system simulation curve digital simulation results show that : The proposed algorithm is not sensitive to changes in model parameters, output, (t) can be controlled in a very short period of time; on strong deterministic disturbance rejection; can quickly track the set point changes. Because of the large increase in the noise variance, the simulation curve is a certain degree of volatility makes sense. 4 Conclusion In this paper, pole placement self-tuning control and robust control with a combination of robust estimation point of view, the utility for the purpose of of object parameters when the input signal and changes in the larger context of robust performance with better control scheme. digital simulation results, confirm that the proposed algorithm to track the set value, Mutations and deterministic process parameters are unmeasurable disturbances good control performance - robust.,
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