Ali Karami-Mollaee
Hakim Sabzevari University
[ 1 ] - Dynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
Dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is proposed. In DSMC the chattering is removed due to the integrator which is placed before the input control signal of the plant. However, in DSMC the augmented system is one dimension bigger than the actual system i.e. the states number of augmented system is more than the actual system and then to control of such ...
[ 2 ] - Adaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
[ 3 ] - Optimized Fuzzy Controller Design in Unbalanced Voltage Drop Mode for Dynamic Voltage Restorer
The loss of balanced voltages involves a voltage drop due to symmetric three-phase errors, or the initiation of high-power three-phase loads or symmetric three-phase switches. While these events in an unbalanced way lead to asymmetric voltage drops. Voltage drops can cause asymmetric load on the power grid, the occurrence of volatility, and even network power outage. One of the most common ways...
Co-Authors