Zhang Danhong

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Linear controllers cannot get satisfactory results for active magnetic bearings (AMB) due to the highly nonlinear and open-loop unstable electromechanical dynamics. This paper proposes a combined controller which integrates a fuzzy logic controller (FLC) with a single neuron controller for AMB. The FLC operates with a small single neuron control component(More)
In order to improve the performance of the three phases PLL system, this paper designs an algorithm to optimize the PI controller parameters based on the integral of squared error theory. First, it analyzes the nonlinear character of the three phases PLL which uses the d-q coordinate transformation theory to lock the voltage phase, and deduces the closed(More)
In order to improve the dynamic performance of active magnetic bearing systems with highly nonlinear and naturally unstable dynamics, a new nonlinear fuzzy-immune proportional-integral-derivative (PID) controller is proposed by combining the immune feedback law with linear PID control. This controller consists of a PID controller and a basic immune(More)
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