Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 4 1 2014 03 21 Wavelet Sliding-Mode Control with Varying Boundary Layer via Time-Variant Sliding Function for Pitch Autopilot Wavelet Sliding-Mode Control with Varying Boundary Layer via Time-Variant Sliding Function for Pitch Autopilot 93 106 250 10.22044/jsfm.2014.250 FA M Yarahmadi Assoc. Prof., Faculty of Mathematics, Lorestan University, Lorestan, Iran Saba Yaghobipour Lect., Faculty of Mathematics, Lorestan University, Lorestan, Iran Journal Article 2013 04 18 Abstract <br />In this paper, the nonlinear method, “wavelet sliding-mode control with varying boundary layer via time-variant sliding function” for the pitch autopilot controlling EMRAAT missle, based on steering logic BTT is employed. Time-variant sliding surface filters all un-modeled frequencies. The adjustable boundary layer width, break-frequency bandwidth and the consequent parameters in neural wavelet approximation are tuned, to reduce the effects of the system uncertainties, un-modeled frequencies,. The chattering phenomenon do not occur and control cost is lower than other methods. The tracking operation is time optimal operation . Three theorems and one lemma, which facilitate design of the employed controller, are presented. To investigation the operation of the employed method, the Mexican Hat wavelet function as wavelet basis function is selected. This method is implemented for a couple of examples, pitch autopilot control systemand invert pendulum, to illustrate adventages of the proposed method. <br />Keywords:Break frequency bandwidth, Rejection regulator, Sliding Mode Control, Missle, Autopilot, Wavelet Varying Boundary Layer, Wavelet networks Abstract <br />In this paper, the nonlinear method, “wavelet sliding-mode control with varying boundary layer via time-variant sliding function” for the pitch autopilot controlling EMRAAT missle, based on steering logic BTT is employed. Time-variant sliding surface filters all un-modeled frequencies. The adjustable boundary layer width, break-frequency bandwidth and the consequent parameters in neural wavelet approximation are tuned, to reduce the effects of the system uncertainties, un-modeled frequencies,. The chattering phenomenon do not occur and control cost is lower than other methods. The tracking operation is time optimal operation . Three theorems and one lemma, which facilitate design of the employed controller, are presented. To investigation the operation of the employed method, the Mexican Hat wavelet function as wavelet basis function is selected. This method is implemented for a couple of examples, pitch autopilot control systemand invert pendulum, to illustrate adventages of the proposed method. <br />Keywords:Break frequency bandwidth, Rejection regulator, Sliding Mode Control, Missle, Autopilot, Wavelet Varying Boundary Layer, Wavelet networks https://jsfm.shahroodut.ac.ir/article_250_bae0aeb0e6a00223550645b41f01134a.pdf