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This paper deals with the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The actuator static characteristics are exploited to model the system dynamics. Then, the obtained model from the identification procedure is used to design a nonlinear control...
In this paper, we present an overall study focused on the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The obtained model from the identification procedure is sufficiently closer to the practical actuator behavior and captures most of its characteristics...
In this paper, a sensorless neural network speed control strategy of permanent magnet synchronous machines (PMSMs) is introduced as an alternative to conventional control techniques. The control strategy achieves accurate tracking by making use of artificial neural network (ANN) learning capabilities to approximate the machine's nonlinear dynamics. The ANN controller's output is then fed to a Space...
Modeling using Lagrange equation of 1st kind and state-space control of a real inverse pendulum is considered. The mathematical model of the pendulum is derived and compared with measurements of the real system. The negative influence of the dry friction was considered and the oscillation was successfully reduced.
The electronic throttle control (ETC) is a key component in modern automotive, which affects the performance of traction control and engine torque control. An ETC control system consists of a DC servo motor driving a circular-shaped valve plate, which is connected to a preloaded spring. The opening angle of the valve plate controls the air flow into the engine. When the control system fails, the spring...
In this paper a self-tuning control design strategy for the electronic throttle is introduced. The proposed control design consists of a modified PID controller and an additional nonlinear controller that helps to compensate the nonlinearities of the plant. The control parameters are calculated automatically using an appropriate process identification algorithm. The efficiency of the proposed control...
In this paper, we describe the controller design method for nonlinear radar gimbal stabilization system with time-delay with polytopic uncertainty. In order to consider nonlinearity of the gimbal bearing frictional torque, we represent T-S fuzzy model for the nonlinear gimbal system. And the represented model can be rewritten as Parameterized Linear Matrix Inequalities (PLMIs), that is, LMIs whose...
The performance improvement of hydraulic simulator is effected by dynamic nonlinear friction. A nonlinear adaptive frication compensation method based on LuGre friction model is proposed to acquire good low-speed performance of hydraulic simulator after analyzing dynamic friction of hydraulic simulator and building LuGre friction model of hydraulic simulator. Dual nonlinear observers are constructed...
This paper concerns the design of robust and high precision performance controller. Optimum fuzzy PID controller is developed with the aim to achieve high performance and to reduce tracking errors. Mathematical model is developed that includes a dynamic friction model to accounts for main nonlinearities. To acquire the global optimal state proposed controller is optimized by using genetic algorithm...
Pressure ripple in electric power steering (EPS) system can be caused by the phase lag between driverpsilas steering torque and steer angle, the nonlinear frictions, and the disturbances from road and sensor noise especially during high frequency maneuvers. This paper novelly applied the robust fuzzy control method of active reduction of pressure ripple for EPS system, which achieves remarkable progress...
The modeling, parameters identification, and linear and nonlinear feedback control designs of an electronic throttle control (ETC) system is considered. A commercially available ETC system made by Bosch is selected for our investigation. The unknown parameters identified are used in designing linear and nonlinear controllers. Simulations and extensive experiments were conducted. A real-time linear...
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