Mustafa H. Mshari

A perturbed linear system with property of strong observability ensures that there is a sliding mode observer to estimate the unknown form inputs together with states estimation. In the case of the electro-hydraulic system with piston position measured output, the above property is not met. In this paper, the output and its derivatives estimation u...

One of the major components in an automobile engine is the throttle valve part. It is used to keep up with emissions and fuel efficiency low. Design a control system to the throttle valve is newly common requirement trend in automotive technology. The non-smoothness nonlinearity in throttle valve model are due to the friction model and the nonlinea...

Abstract – The electronic throttling angle control system is the newly common requirement trend in automotive technology. It is used to regulate the amount of air flow into the engine. Due to the existence of multiple non-smooth nonlinearities, the controller design to the electronic throttle valve becomes a difficult task. These nonlinearities inc...

This paper deals with the problem of designing a robust controller for the electro-hydraulic position servo system (EHPSS). The sliding mode control design methodology is utilized here to design a robust controller with respect to system parameters uncertainty. Because the relative degree of the mechanical sub-system with respect to hydraulic force...

Due to their reduced maintenance costs, increased power efficiency and reduced power consumption, the Magnetic Levitation (Maglev) system make a significant contribution to the industrial application. Maglev's production of electricity (e.g. wind turbines), maglev trains and medical devices (e.g. artificial heart pump magnetically suspended) are ty...

The main drawback of the classical sliding mode observer is the chattering problem which eliminated in the present via replacing the signum function with an approximation to get approximate classical sliding mode observer. When the signum function is replaced with an approximating one, the estimation error will not go to zero anymore, but it will g...