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PI controller with anti-windup.
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This paper presents a novel nonlinear control strategy based on a backstepping fuzzy adaptive approach to avoid chaos in a synchronous motor. In the controller design and stability proof, the parameter uncertainty and the system disturbance are taken into account. The matching condition is not satisfied in this model, and disturbances with an unkno...
Citations
... Multi-wavelets are very similar to wavelets but have some important differences. In particular, Multi-wavelets have two or more scaling and wavelet functions where as wavelets have an [29]. Where, T is denoted as the vector response and r can be arbitrarily large (where r=2) [30]. ...
... In this paper the gain parameters can be optimized by using the PSO algorithm. The particle swarm optimization (PSO) is an evolutionary algorithm developed by Kennedy and Eberhart in 1995 [29]. The algorithm helps to find an optimal gain parameter values through the interaction of individuals among the various optimal solutions. ...
In this paper, a Multi wavelet neural network (MWNN)-Particle Swarm Optimization (PSO) based MRPID controller is proposed for the speed control of an interior permanent magnet synchronous motor (IPMSM) drive system. In the proposed controller, the multi wavelet transform is used to decompose the available error signal from the actual speed and command speed signal into different frequency components. The parameters of the proposed controller are optimized by PSO algorithm. Then the calculated error coefficients are multiplied with their respective gains to generate an overall control signal. The proposed model is implemented in MATLAB/SIMULINK working platform and the speed control performance of a proposed controller is evaluated. The IPMSM motor drive with MWNN-PID controller through simulation results proves a better performance and stability when compared to that of conventional PID and WNN-PID controllers.
In this paper we design a linear time-invariant (LTI) two-input-two-output (TITO) controller for the Permanent Magnet Synchronous Motor (PMSM). First the nonlinear system of a PMSM is approximated using a linear system with structured uncertainties according to the geometric structures of PMSM. We then design a linear controller for the approximated linear system using a standard -synthesis robust control method. The main contribution of this paper is that we recognize that the nonlinear PMSM can be reduced to a linear system to apply the mature modern control theory, without referring to classical PID control, thus largely reducing the design effort. The newly designed robust controller is not only easy to calculate, it is also easy to implement and requires less sensors. By virtue of modern robust control theory, it responds fast to exogenous inputs, and robust against parameter uncertainties as well. The applicability of the designed robust controller is both numerically simulated and experimentally verified on a TMS320 F28335 based control board, with performance further compared with the widely used Field-oriented controller.
