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In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable neural network sliding mode controller (NN-SMC) for a linear motor speed loop control is proposed. The neural network control is highly efficient for some large data sets via self-organizing, learning, and forgetting. Analysis of simulations reveals that...
The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. BP neural network is widely used in many fields. In this paper, analysed the control requirements of servo control system, combined control characteristics of neural network and PID based on mathematical model of permanent magnet linear synchronous...
In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable adaptive fuzzy sliding mode controller (AFSMC) for a linear motor speed loop control is presented, The fuzzy system is applied to approximate the unknown nonlinear function of plant, and then the estimation value of nonlinear function is used to design...
A correction factor fuzzy-PID control method is adopted in order to solve the vibration of elevator cab because of the edge effect in the linear elevators driven by the permanent magnet linear synchronous motor (PMLSM). The fuzzy control has the characteristics of being not completely dependent on the mathematics model, but the fuzzy control rules are obtained by experiences of authors or knowledge...
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