Brushless DC Motor (BLDCM) systems, which consist of a permanent magnet synchronous motor (PMSM), an inverter, and a position sensor mounted on the motor shaft, have recently become widely used in many industrial applications. However, when trying to make a high precision control for the BLDCM, such as making the steady state error less than 0.01% of the rating speed , the effect of the small torque ripple which does not appear in the DC Motors cannot be ignored. This torque ripple in BLDCM is mainly due to fluctuations of the field distribution, the influence of the switching dead time and the cogging torque. The offset error and the unbalanced gain between each phase of the current detector also contribute to the periodical disturbance. This paper presents a new control method for small vibration suppression. We propose a new disturbance torque model which consists of several kinds of periodical components and a DC component. As the state space observer theory can be applied to this model, an observer based approach is used to estimate the amplitude and the phase of these periodical disturbances assuming that the frequency is known. The estimated torque is fed to the current reference to suppress the vibration. This method can he applied not only to a constant speed control system but also to a variable speed control system.Experimental results show the validity of the proposal method.

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In this paper, we propose an off-line tuning method of the vibration suppression controller gains for 2-inertia system using Fictitious Reference Iterative Tuning (FRIT). FRIT is one of data-driven design methods using only one-shot experimental input-output data without model parameters of the controlled object. We use the modified-IPD speed controller which consists of the 2-degree of freedom PID control, considering response speed, and in addition, we use the first lag element in order to increase degree of freedom of the control design. Then, we consider the current loop for the high speed torque control. In this paper, a PI controller is used for the current control. Here, in this paper, we use the particle swarm optimization as the optimization searching method, and the performance index is the IAE. So, we confirmed the effectiveness of the proposed method which used only one-shot experiment result by experimental setup.

Vibration suppression control of the mechanical system is a very important technology for realizing high precision, high speed response and energy saving. In general, the mechanical system is modeled with a multi-mass resonance system, and vibration suppression control is applied. This chapter presents a novel controller design method for the speed control system to suppress the resonance vibration of two-mass resonance system and three-mass resonance system. The target systems are constructed by a motor, finite rigid shafts, and loads. The control system consists of a speed fuzzy controller and a proportional-integral (PI) current controller to realize precise speed and torque response. In order to implement the experimental system, the system is treated as the digital control. This chapter also utilizes a differential evolution (DE) to determine five optimal controller parameters (three scaling factors of the fuzzy controller and two controller gains of PI current controller. Finally, this chapter verified the effectiveness to suppress the resonance vibrations and the robustness of the proposed method by the computer simulations and the experiments by using the test experimental setup.

In this paper a novel sensorless speed control of a synchronous reluctance motor (Syn. R M ) is presented. The sensorless control is based o n the modified flux linkage observer which i s proposed by authors f o r a permanent magnet synchronous motor (PMSM), and the theory is applied to Syn.RM here. The observer i s able to estimates the modified flux linkage and the electromotive force (EMF) simultaneously. The motor speed and the rotor position are calculated f r o m these estimated values. The validity of the proposed method is verified by experiment using the RTLinux.