W ITH the recent rapid developments in industrial technology, the modern industrial systems have become more and more complex requiring a greater attention to be paid on the stabilizability, the robustness, the reliability, and the optimization issues. The recent developments in slidingmode control and observation techniques serve as powerful tools in this respect. The use of sliding mode contr...

many real time processes have complex, uncertain and nonlinear dynamics. boilers are nonlinear, time varying, multi-input multi-output (mimo) systems, whose states generally vary with operating conditions. the major problem in controlling that system is that its drum water pressure and steam flow dynamics include an integrator that results a critically stable behavior. conventional controller p...

For indirect adaptive fuzzy ∞ H tracking control (AFHC) of perturbed uncertain nonlinear systems, slidingmode control (SMC) compensation usually has to be applied to ensure stability and ∞ H robustness of the closed-loop system. We prove that indirect AFHC without SMC compensation is sufficient to guarantee stable ∞ H tracking under given initial conditions and parameter constraints. The contro...

in this paper, the driver with antiwindup and fuzzy high-performance and robust pi controller has been suggested for permanent magnet synchronous motor (pmsm). this controller is suggested for the design of the robust driver for three phase pmsm and the cost reduction of its control system. it’s useful for the industrial application and automation and ultimately speed control and the improvemen...

in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

anti-lock braking system (abs) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. for this reason an interval type-2 fuzzy controller is de...

In this work we study steady-state cornering conditions for a single-track vehicle model without imposing restrictive (i.e., linearized) conditions on the tire slip. For each steadystate cornering condition we calculate the corresponding tire friction forces at the front and rear tires, as well as the required front steering angle and front and rear wheel slip ratios, to maintain constant veloc...

in this paper an optimal controller is proposed for a self-balancing electrical vehicle called segway pt. this vehicle has one platform and two wheels on the sides and the rider stands on the platform. a handlebar, as a navigator, is attached to the body of segway, with which the rider controls the vehicle. since segway uses electrical energy produced by batteries, resource consumption manageme...