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In this paper, a nonlinear PI controller is developed to control speed of PMSM, it can adjustment of controller parameters automatically in order to achieve the best control effect in control process. Simulation results show that it was faster than the traditional controller response and have a smaller overshoot.
In the following paper, we propose a new input-output sliding mode linearization control for induction motor combined with field oriented control (FOC). We develop two loops to control the speed and rotor flux modulus. The first one, inner loop, allows to linearize the system by a choose of closed loop poles to achieve a good linearization. The choice of a particular sliding surface permits to create...
The basic principle of space vector pulse width modulation (SVPWM) and a method of building two closed-loops vector control simulation model for permanent magnet synchronous motor (PMSM) are presented in this paper. At the same time, a new non-linear PID controller in speed closed-loop is studied. Simulation results show that it has good dynamic and static performances with no overshoot and small...
In view of the dependence on non-linear parameters of induction motor leading to poor decoupling in conventional vector control, the current control strategy of TSMC fed induction motor using complex vectors is proposed. And mathematic models using complex vectors on TSMC and induction motor are derived and simplified. Then the use of complex vectors root locus figures out complex PI current regulator...
In this paper, speed controllers based on artificial neural networks for vector control of AC motors are used. Tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the commanded speed. The controller is adaptive and is based on a nonlinear autoregressive moving average (NARMA-L2) algorithm. A comparative study...
The permanent magnet synchronous motor (PMSM) is a dynamic, multi-variable and non-linear system, and the conventional PID control method is very difficult to meet the requirement for high accuracy control. This paper presents an approach of control for PMSM servo system using fuzzy radius basis function (f-RBF) neural network which has the advantages of strong adaptive ability and nonlinear approximation...
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