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In connection with the multi-variable, strong coupling, nonlinear characteristics of the permanent magnet synchronous motor(PMSM) control system, the fuzzy control method has been introduced to tune the PMSM's control parameters. Based on model reference adaptive system (MRAS), this paper present a new method which combined both the fuzzy PI controller and the MRAS model. Some simulations has done...
The parameter of permanent magnet synchronous motor reveals uncertainty in actual modeling, which leads to the limit of differential geometry theory in control. In this paper, the differential geometry and sliding mode variable structure are integrated to solve the problem. Firstly, the basic condition of sliding mode existing is discussed. Then a kind of variable structure controller is designed...
The neuron net has ability to self-learning and adaptation, so its application into control does not depends on mathematic model of control object, and the neuron net controller can overcome the defect of less robustness of the conventional PI controller while changing of motor parameters. It is proposed to apply the neuron net control method into control system of the permanent magnet linear synchronous...
The non-interacting control method of permanent-magnet synchronous motor (PMSM) is proposed by using exact linearization via state variable feedback. The conditions of exact linearization are discussed with differential geometry method based on PMSM mathematic model. The PMSM linearization and non-interacting control design had been completed in the entire state variable space by state coordinates...
This paper presents a comprehensive analysis of the direct torque and flux control (DTFC) scheme for interior permanent magnet synchronous motor (IPMSM) drives. Closed-loop regulation of the torque and stator flux linkage are achieved via two independent proportional-integral (PI) controllers. The reference voltage vectors are generated by a space vector modulation (SVM) unit. A mathematical analysis...
In order to deal with the uncertainties of permanent magnet synchronous servo motor, inertia, torque load and viscous damping coefficient are online identified based on recursive least-square (RLS) estimator simultaneously. Then, a novel self-tuning PI controller based on iteration self-learning scheme is designed. Along with the regulation process, the system can remember effective historical control...
In the permanent magnetic synchronous motor (PMSM) single rotator compressor system, the position coder is not used because of the limitation of working environment. Consequently, the load torque vibration of the compressor during each mechanical period is serious due to the restriction of location estimation accuracy, also causing big velocity fluctuation, high noise and low efficiency when the system...
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