| The main content of this thesis is about the study and improvement of the Direct Adaptive Fuzzy theory (DAF) to design a high performance Power Electronic and Electric Drive system (PEDs). In this thesis, we study DAF for DC motor and PMSM motor control system. If motors of PEDs are linear certain time-invariant plant, we can completely design a conventional controller to meet desire quality. In practice, there are many PEDs which are nonlinear uncertain time-variant plants. In this case, the conventional controller as PI and PID with fixed gains may not be suitable for high performance PEDs. At the moment, DAF is one of the good solutions for controlling system types mentioned above. In order to enhance transient quality, steady quality and adaption ability of the system, we improve conventional DAF control algorithm. For anti-load noise problem in PMSM motor control system, control structure of current loop is changed to reduce influence of load noise to system time response.For DC motor electric drive system (DC-PEDs), an improved DAF (IDAF) is used to control both speed and position angle. The IDAF is designed based on the DAF theory by L.X.Wang launched in1993and some our improvements. Advantages of the DAF theory can design a controller for linear and non-linear uncertain plants and ensure asymptotic tracking of input reference signals that do not need identification stage. However these system qualities depend on some parameters of DAF controller such as updating coefficient, and parameters of matrixes in Lyapunov equation. In order to improve the quality of the control systems, the number of fuzzy rules is increased and a fuzzy system is used for online adjusting the updating coefficient. The IDAF control structure consists of two fuzzy systems C-Fuzzy system and G-Fuzzy system. The C-Fuzzy system is conventional DAF controller which directly calculates an optimal control value for controlling plant. The G-Fuzzy system is designed for online adjusting the updating coefficient which has a strong influence on system quality.For PMSM motor electric drive system (PMSM-PEDs), the control system is designed based on Rotor Field Oriented Control theory (RFOC), Internal Model Control (IMC) and IDAF controller. In this PMSM-PEDs, we conduct some improves as follow. In current-loop, an improved IMC (IIMC) structure is proposed to reduce effect of load-noise. The IIMC is combining between traditional IMC and a speed feedback loop to enhance anti-load noise ability of the system. The difference between our control structure and conventional control structure is that the system could automatically realize anti-load noise in inner-loop (current loop) before adjusting speed in outer-loop. This will create a really high performance for PMSM control system. In speed-loop IDAF and FST-PID are used for controlling the speed of the system in order to enhance transient quality of the system. Simulation results with MATLAB&SIMULINK demonstrate the effectiveness of the proposed method.Finally, the hardware of DC-PEDs control system is designed with Microchip16-bit dsPIC33FJ256MC710A digital signal controller. Then, several experiments using IDAF for DC-PEDs are presented, and they demonstrate the efficiency of the IDAF controller. |
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