The design of quasi-sliding mode control for a permanent magnet synchronous motor with unmatched uncertainties

Finite-time integral sliding mode control for chaotic permanent magnet synchronous motor systems

“…Several researchers have investigated the problem of control chaos in PMSM [5][6][7][8][9][10][11][12][13][14][15][16]. Decoupling control [5], entrainment and migration control [6], optimal Lyapunov exponents placement [7], sensorless control [8][9][10], time delay feedback control [11], feedback control [12], backstepping control [13], passivity control [14], sliding mode control [15], and fuzzy control [16,17].…”

“…Decoupling control [5], entrainment and migration control [6], optimal Lyapunov exponents placement [7], sensorless control [8][9][10], time delay feedback control [11], feedback control [12], backstepping control [13], passivity control [14], sliding mode control [15], and fuzzy control [16,17]. During the last three decades, variable structure systems (VSS) and sliding mode control (SMC) have received significant interest and have become well-established research areas with great potential for practical applications.…”

Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks

“…Since the undesirable chaotic oscillations can break down the system stability or even cause the drive system to collapse, the chaos suppression and control in a PMSM have received much attention in the field of nonlinear control of electric motor. Until now, various control methods have been developed for chaos suppression and control in a PMSM, including nonlinear feedback control [6,7], time delay feedback control [8][9][10], backstepping control [11,12], sliding mode control [13], quasisliding mode control [14,15], dynamic surface control [16], and adaptive control [17,18]. However, shortcomings still exist in these methods.…”

An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor

“…Since the undesired chaotic oscillations can affect the stabilization of a motor drive system negatively, causing the drive system's collapse, it has been more and more critical to control and eliminate the chaos. Until now, despite various chaos control methods developed for PMSMs such as feedback linearization [11], sliding mode control [12], quasisliding mode control [13,14], adaptive backstepping control [15], and time-delay feedback control [16], there are some shortcomings which still exist. Most of the methods require the exact mathematical models to calculate the control laws.…”

“…Moreover, with the improved design, the controller not only meets the control objective but also surely avoids the singularity problem even with the initial phase. In contrast, many previous works dealing with chaos control of the PMSM have the restriction in that controller design relies on the model of PMSM [11][12][13][14][15][16]. In other words, an exact mathematical model of PMSM is necessary to design the control laws.…”