Font Size: a A A

Research On PMSM Control With Dissipation Hamilton System

Posted on:2010-06-17Degree:DoctorType:Dissertation
Country:ChinaCandidate:J QiuFull Text:PDF
GTID:1102360302489850Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Permanent magnet synchronous motors have advantages such as small size, high power density, great efficiency, easy maintenance, etc, and they have been more and more widely used in AC server system since 1980s. As the applications of AC servomotors become more and more complex, higher requests are submitted. Permanent magnet AC servo techniques have grown rapidly, but most of them are complicated and not easy to realize. Recently, the energy-shaping methods for stabilization of physical systems have received increasing attention from scholars. The main characteristic of it is that the closed loop's energy storage function is chosen as Lyapunov function, which can keep system structure preserved, make system's stability analysis simpler and physical meaning of closed loop more clearly. This paper aims at the permanent magnet synchronous motor vector control with dissipation Hamilton realization. The main contents are as following parts.1. The research background is presented in the first part. First of all, an overview of AC motor control strategy for the development and latest researches are given. Then we represent the energy-shaping method's development, its theoretical basis and applications. The necessity of researching advanced control strategy for permanent magnet synchronous servo system is also brought out based on subject's background at last.2. We review the definitions of differentiable manifold, input-output stability, passivity, conservative, stability criterion and some important theories. Then the port-controlled Hamilton with dissipation control theory and feed-back dissipation Hamilton realization theory are described. The mathematical model of permanent magnet synchronous motor is brought out and a comparison of different current control methods is made.3. We build the permanent magnet synchronous motor's port-controlled dissipation model with port-controlled Hamilton with dissipation theory. Based on the load disturbance observer, a feedback speed stabilization controller is designed. In order to improve control system's dynamic performance, we propose control method with variable coefficients. Then a position servo control proposal with energy-shaping method is proposed, which uses a feed forward compensation controller to improve the system's tracking performance.4. Based on the feedback dissipative Hamilton realization theory, we design the permanent magnet synchronous motor speed controller. Gain scheduling method is used to improve system's dynamic performance. We propose a sliding-feedback dissipation Hamilton hybrid control method to enhance system's robust performance while keeping the stability properties at the same time. To meet the precision electrical parameters requirements for high-performance servo system, based on adaptive feedback dissipative Hamilton realization method, we proposed a flux adaptive control method with energy-shaping. The method improves the servo system's control precision.5. Aiming at the problem that Taylor series is not easy to obtain in nonlinear predictive control, we bring out the Taylor series expansion of permanent magnet synchronous motor mathematical model built on automatic differentiation method. Then sensitivity matrix of performance function is also solved by automatic differentiation method. The automatic differential method is applied to nonlinear predictive control of permanent magnet synchronous motor. The nonlinear predictive control based on automatic differentiation makes the process of solving Taylor series problem simple.6. Based on the project background, this paper introduces the composition of the AC servo experimental platform, and analyses the experimental waveform.
Keywords/Search Tags:hamilton, energy-shaping, nonlinear control, permanent magnet synchronous motor, predictive control, automatic differential
PDF Full Text Request
Related items