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This paper presents design procedure for a neural feedforward controller which can be used as an atomic force microscope system. We have used a three layered feed forward neural network for designing Feedforward Controller with Plant Inverse Learning. The effectiveness and validity of the designed controller were investigated by computer simulation and results obtained are compared with other control...
High precision control and hysteresis compensation are two important factors in nanopositioning. To reduce the tracking error and compensate the hysteresis effect in the piezoelectric actuator, in this paper we present a nanopositioning control scheme for piezoelectric platform. A Bouc-Wen model is established to describe the nonlinear hysteretic effect of the piezoelectric systems. The design of...
This paper presents a novel MEMS capacitive accelerometer which employs an estimator. This scheme is realized by adding an adaptive nonlinear observer to the conventional PID closed loop system. This estimator is used for online estimation of the parameter variations for MEMS accelerometers and gives the capability of self testing to the system. The performance of the proposed hybrid controller investigated...
This paper presents a new estimator for the conventional capacitive MEMS accelerometer. This scheme is realized by adding an adaptive nonlinear observer to a conventional PID closed loop system. This estimator is used for online estimation of the parameter variations for MEMS accelerometers and gives the capability of self testing to the system. We outline the design of an online estimator for a capacitive...
This paper presents a novel hybrid control algorithm for the conventional capacitive MEMS accelerometer. This scheme is realized by adding a backstepping controller to a conventional PID closed loop system to achieve higher stability and higher dynamic range and to prevent pull-in phenomena by preventing linger displacement from passing a maximum preset value. The analysis of convergence and resolution...
In this paper a nonlinear controller is presented for Doubly-Fed Induction Machine (DFIM) drives. The nonlinear controller is designed based on input-output feedback linearization control technique, using the fifth order model of induction machine in fixed stator d ,q axis reference frames with stator currents and rotor flux components as state variables. The nonlinear controller can perfectly track...
In this paper a model and a nonlinear control scheme for an atomic force microscope are developed. For this reason a backstepping control algorithm is developed to achieve asymptotic cantilever tip tracking for bounded tip trajectories. In addition, the micro cantilever is modeled by the interaction between sample and cantilever with the Van der waals attraction/repulsion force (i.e., the interaction...
In this paper a nonlinear controller is presented for doubly-fed induction machine (DFIM) drives. The nonlinear controller is designed based on adaptive input-output feedback linearization control technique, using the fifth order model of induction machine in fixed stator d, q axis reference frames with stator currents and rotor flux components as state variables. The nonlinear controller can perfectly...
In this paper a new energy method for determination of flicker source in power system is proposed This method is based on the energy of flicker signal; therefore, an expression for flicker energy signals is defined, which can be successfully utilized for detection of the flicker source. The main advantage of this method is its simplicity which can be implemented in time domain and no transformation...
In this paper using adaptive backstepping approach an adaptive rotor flux observer which provides stator and rotor resistances estimation simultaneously for induction motor used in series hybrid electric vehicle is proposed. The controller of induction motor (IM) is designed based on input-output feedback linearization technique. Combining this controller with adaptive backstepping observer the system...
In this paper a nonlinear controller is presented for doubly-fed induction machine (DFIM) drives. The nonlinear controller is designed based on adaptive backstepping control technique, using the fifth order model of induction machine in a synchronous d & q axis rotating reference frame with the d axis coincide with space voltage vector for the main AC supply with rotor current and stator flux...
In this paper, a novel nonlinear speed sensorless control scheme is presented for doubly-fed induction machine drive (DFIM). The proposed controller Is designed on the basis of input-output feedback linearization and sliding-mode control with adaptive backstepping observer. Considering the DFIM fifth order model in a stator two axis reference frame with rotor fluxes (psidr ,psiqr ) and stator currents...
In this paper a nonlinear controller is presented for doubly-fed induction machine (DFIM) drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding-mode observer. Using the fifth order model of induction machine in fixed stator d ,q axis reference frames with stator current and rotor flux components as state variables. The nonlinear...
In this paper, the robust nonlinear sliding-mode speed sensorless speed controller for a DC servo motor is proposed. Based on state-space model representing the speed and current dynamics, the nonlinear sliding mode control is designed to track a linear reference model. An observer based on adaptive backstepping approach is used to estimate speed and uncertain parameters. With the proposed speed controller,...
In this paper a robust nonlinear controller is presented for doubly-fed induction machine (DFIM) drives. The nonlinear controller is designed based on combination of Sliding-Mode (SM) and Adaptive-Backstepping control techniques. Using the fifth order model of DFIM in a stator d, q axis reference frames with stator currents and rotor fluxes as state variables, a SM controller is designed in order...
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