Adaptive control of chaos in permanent magnet synchronous motor via Lyapunov exponents’ placement

Permanent Magnet Synchronous Motor (PMSM) experiences chaotic behavior for a certain range ofits parameters. In this case, since the performance of PMSM degrades, chaotic behavior needs to beeliminated. In this paper, control of undesirable chaotic behaviors of PMSM has been conducted byusing Lyapunov exponent placement method. Also, system states are estimated using the noisyobservations via a particular filter. Then, estimated states are used in the controller formula. In orderto demonstrate the impact of the proposed method, MATLAB simulations have been performed.Results show that particle filter (PF) method is able to estimate the state vector of the PMSM in openand closed-loop situations. Also, Lyapunov exponent placement controller derives the states out ofthe chaotic regime and controls them to desired values.

کلیدواژه ها:

Permanent Magnet Synchronous Motor Chaos ، Lyapunov exponents ، Particle Filter