A Deadbeat Adaptive Position Control of PMSM

　　A Deadbeat Adaptive Position Control of PMSM
　　The position control of PMSM servo system will be discussed mainly in the thesis. Based on the vector control of PMSM, we design the deadbeat MRAC observer position controller. In direct drive motor systems, a load torque disturbances directly affects the motor shaft. The application of the load torque observer uses a fixed gain to solve this problem. However, the motor flux linkage cannot be determined precisely for a load torque observer. Therefore, an asymptotically stable adaptive observer base on a deadbeat observer is considered to neodymium prices overcome the problems of unknown parameters, torque disturbance and a small chattering effect.
　　To find the critical parameters the system stability analysis is carried out using the Lyapunov stability theorem. The results indicate that the controller has well dynamic and track performance. In this thesis, it mainly discussed about that:First, we will introduce the background of PMSM, the development general situation of PMSM and the position control research trends of PMSM. Then, based on the vector control of PMSM, we will introduce the mathematics model of the PMSM. We will simulate the position control of PMSM by Matlab.Second, a linear quadratic controller is used to solve the regulator problem resulting in a state variable feedback. A new state is defined for the tracking controller as z = y - y_r .To guarantee the time required for calculating the load torque to be less than the overall system response time and to compensate the load torque at transient state, a http://www.999magnet.com/products/142-neodymium-prices deadbeat observer is desirable. All poles of the observer is zero, the system will achieve steady situation in N step.Third, Even though the observer feedback gain is obtained by using the nominal parameter value, there is a certain variation or uncertainty of the parameter. To overcome this problem, an adaptive observer is considered. In this system, the reference model is the real plant with the augmented state variable feedback controller. We will introduce the Deadbeat MRAC observer. The system stability analysis is carried out using the Lyapunov stability theorem, and find out adaptive mechanism.At last, we will introduce the model of the position controller which based on the deadbeat observer and introduce the model of the position controller which based on the deadbeat MARC, and gain the simulate result. And then we will compare the difference of two methods. Finally we will analyze and summarize the results of the simulation.