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Almost controllers of induction motor speed are designed to keep motor speed unchanged. It is hard for conventional controller such as PI controller because induction motor is a nonlinear system with parameter changes and noise. Sliding mode control based on reference model is worth trying to overcome that difficulty. This paper presents a new method using sliding mode controller based on reference...
A stator-flux-oriented vector controller of induction motor is often used in the controllers due to less depending on parameters of the motors, the parameters of the motors are nonlinear and time-varying solution conditions slip control will be applied by the brilliant advantages of stability control is slipping sustainable and as soon as the system noise. On the other hand, when the parameters of...
This paper presents the design and performance of an on-chip antenna for UWB communications systems. The antenna is a miniaturized monopole planar antenna that designed to radiate directly from the silicon die with compact dimensions of (2.6×1.3×0.7)mm3. The antenna is designed for cointegration with CMOS impulse radio ultra wideband (IR-UWB) pulse generator (6–10GHz) which is designed using 130nm...
This paper presents a method to design and control a two-wheeled self-balancing robot and it focus on hardware description, signal processing, discrete Kalman filter algorithm, system modelling and PID backstepping controller design. In the system, signals from angle sensors are filtered by a discrete Kalman filter before being fed to the PID backstepping controller. The objectives of the proposed...
This paper presents a sliding mode controller for induction motor fed with three level neutral point clamped (NPC) voltage source inverter (VSI) using sine pulse width modulation (SPWM) method. The controller has two loops: In the inner loop, the rotor fl flux and the motor torque are controlled using sliding mode approach. In the outer loop, the rotor speed is adjusted by a PID controller. The simulation...
This paper presents a fuzzy neural-based filtered-X least-mean-square (LMS) algorithm for active noise control (ANC) system. The saturation of the power amplifier in ANC system is considered. A method for compensating the saturation is proposed. An on line dynamic learning algorithm based on the error gradient descent method is carried out. The convergence of the algorithm is proven using a discrete...
The paper presents a method for controlling induction motor using internal model control (IMC) approach. The forward and inverse models are nonlinear in the rotor flux coordinate. Simulation results show that the control system has good performance and robust against changes in motor parameters (rotor and stator resistances, inductances, rotor inertia).
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