Model description:
The hydrostatic transmission dynamics is represented by a nonlinear fourth order state-space model
$$\begin{align*} \dot{q}_{1}(t) &= -a_{11}q_{1}(t)+b_{11}u_{1}(t) \\ \dot{q}_{2}(t) &= -a_{22}q_{2}(t)+b_{22}u_{2}(t) \\ \dot{q}_{3}(t) &= a_{31}q_{1}(t)p(t)-a_{33}q_{3}(t)-a_{34}q_{2}(t)q_{4}(t) \\ \dot{q}_{4}(t) &=a_{43}q_{2}(t)q_{3}(t)-a_{44}q_{4}(t), \end{align*}$$
where $q_1(t)$ is the normalized hydraulic pump angle, $q_2(t)$ is the normalized hydraulic motor angle, $q_3(t)$ is the pressure difference [bar], $q_4(t)$ is the hydraulic motor speed [rad/s], $p(t)$ is the speed of hydraulic pump [rad/s], $u_1(t)$ is the normalized control signal of the hydraulic pump, and $u_2(t)$ is the normalized control signal of the hydraulic motor. It is supposed that the external variable $p(t)$ , as well as the second state variable $q_2(t)$ are measurable. In given working point the model parameters are
$\eqalignno{& a_{11}=7.6923 \qquad a_{22}=4.5455 \quad a_{33}=7.6054.10^{-4} \cr &a_{31}=0.7877 \qquad a_{34}=0.9235\quad\ b_{11}=1.8590.10^{3} \cr &a_{43}=12.1967 \quad\ \ a_{44}=0.4143\quad b_{22}= 1.2879.10{}^{{3}}}$
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Publication details:
| Title | Design of Stable Fuzzy-Observer-Based Residual Generators for a Class of Nonlinear Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2011 |
| Authors | Krokavec, D., Filasova A., and Hladky V. |
| Conference Name | 15th IEEE International Conference on Intelligent Engineering Systems (INES), 2011 |
| Date Published | 06/2011 |
| Publisher | IEEE |
| Conference Location | Poprad |
| ISBN Number | 978-1-4244-8954-1 |
| Accession Number | 12118815 |
| Keywords | continuous time systems, fault diagnosis, fuzzy systems, linear matrix inequalities, MIMO systems, nonlinear control systems, observers, stability |
| Abstract | One principle for designing fuzzy-observer-based fault residual generators for one class of continuous-time nonlinear MIMO system is treated in this paper. The problem addressed can be indicated as an approach given sufficient conditions for residual generator design based on fuzzy system state observers. The conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties. Simulation results illustrate the design procedures and demonstrate the performance of the proposed residual generator. |
| DOI | 10.1109/INES.2011.5954768 |
