Abstract:This paper presents a position servo control approach for a permanent magnet linear synchronous motor. The nonlinear motor dynamics is expressed in the backstepping control scheme on which a recursive designing procedure is carried out. Based on the desired motion trajectory, the magnetic thrust force is first calculated and then treated as the control objective for the next subsystems. The command voltages to stabilise the whole system are established concerning the electric properties of the magnetic winding… Show more
“…A 32-bit counter is designed to feed back the position of the forcer. The speed feedback is calculated from the difference of the displacement counter, (11) associated with the following 4th-order moving average operation,…”
Section: Experimental System Setup and Functional Evaluation Resultsmentioning
confidence: 99%
“…Linear motors of various types have been developed and investigated [1][2][3][4][5][6][7][8][9][10][11]. A shaft motor is a type of permanent magnet (PM) linear motor that consists of only windings and a non-magnetic pipe filled with PMs [1,4,6,7].…”
Owing to the benefits of programmable and parallel processing of the field programmable gate arrays (FPGAs), they have been widely used to the realization of digital controllers and motor drive systems. In this study, we adopt the FPGA chip to realize the Linear Shaft Motor (LSM) drive system which includes the position, speed and current vector controls. Linear shaft motor is a special motor which has the magnet as the shaft and stator coils are on the forcer. Thus, it reveals a small mechanical time constant. In addition, the electrical side can be looked as a general three-phase Alternating Current (AC) system which can be powered by inverter and vector control technique can be applied to the system. The designed system needs high performance calculation ability about position/speed control and vector current control loops. The mathematical model of linear shaft motor drive system is first built and simulated by MATLAB/Simulink and the accuracy about the effect from the speed estimation method is proposed. The resulting digital model of the drive system is stored into Verilog Hardware Description Language (Verilog HDL) codes and realized by FPGA. At last, the hardware circuits as well as the power module are used to test the performance of the developed hardware system in terms of the trapezoidal velocity profile. The experimental results show that the designed system realized by FPGA has attained the desired performance.
“…A 32-bit counter is designed to feed back the position of the forcer. The speed feedback is calculated from the difference of the displacement counter, (11) associated with the following 4th-order moving average operation,…”
Section: Experimental System Setup and Functional Evaluation Resultsmentioning
confidence: 99%
“…Linear motors of various types have been developed and investigated [1][2][3][4][5][6][7][8][9][10][11]. A shaft motor is a type of permanent magnet (PM) linear motor that consists of only windings and a non-magnetic pipe filled with PMs [1,4,6,7].…”
Owing to the benefits of programmable and parallel processing of the field programmable gate arrays (FPGAs), they have been widely used to the realization of digital controllers and motor drive systems. In this study, we adopt the FPGA chip to realize the Linear Shaft Motor (LSM) drive system which includes the position, speed and current vector controls. Linear shaft motor is a special motor which has the magnet as the shaft and stator coils are on the forcer. Thus, it reveals a small mechanical time constant. In addition, the electrical side can be looked as a general three-phase Alternating Current (AC) system which can be powered by inverter and vector control technique can be applied to the system. The designed system needs high performance calculation ability about position/speed control and vector current control loops. The mathematical model of linear shaft motor drive system is first built and simulated by MATLAB/Simulink and the accuracy about the effect from the speed estimation method is proposed. The resulting digital model of the drive system is stored into Verilog Hardware Description Language (Verilog HDL) codes and realized by FPGA. At last, the hardware circuits as well as the power module are used to test the performance of the developed hardware system in terms of the trapezoidal velocity profile. The experimental results show that the designed system realized by FPGA has attained the desired performance.
“…In order to estimate the unknown parameters in the system, adaptive backstepping approach has been proposed, and this strategy which can achieve satisfactory control performance is proved to be effective [24]. In [25], an adaptive backstepping controller is designed for permanent magnet linear synchronous motor, and the tracking of the motor position is realized. Experiment shows that the control effect of designed adaptive backstepping controller is better than proportion-integral (PI) controller.…”
2018) A novel adaptive command-filtere backstepping sliding mode control for PV grid-connected system with energy storage. Solar Energy,. ISSN 0038-092X.
AbstractTo solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters, a projection-based adaptive backstepping sliding mode controller with command-filter is designed in the system, in order to adjust the DC-link voltage and the AC-side current in the PV grid-connected system. Firstly, the mathematic model of the inverter in PV system is established, then backstepping control method is applied to control it, and the command filter is added to the controller to eliminate the differential expansion of the backstepping controller. Furthermore, the adaptive law based on Lyapunov stability theory is designed to estimate the uncertain parameters in the grid-connected inverter. A projection algorithm is introduced in the adaptive controller due to the demand of guaranteeing the bounded estimated value. Additionally, a sliding mode controller is increased to improve its robustness in this system.With the consideration of the influence of irradiation and temperature changes, a battery-energy-storage-system is applied to the DC-side to suppress the fluctuation of output power of the PV system. Finally, the simulation results demonstrate that the presented strategy can control the grid connected inverter precisely.
“…However, this control technique is sensitive to external disturbance and parameters uncertainties. To overcome this limitation, numerous nonlinear control strategies have been proposed in the literature such the backstepping control [4], input-output linearization control [2] and sliding mode control [5]- [7] and so on.…”
This paper proposes a sensorless sliding mode control (SMC) for a five phase permanent magnet synchronous motor (PMSM) based on a sliding mode observer (SMO). The stability of the proposed strategy is proved in the sense of the Lyapunov theory. The sliding mode controller is designed with an integral switching surface and the sliding mode observer is developed for the estimation of rotor position and rotor speed. The proposed sensorless control strategy exhibits good dynamic response to disturbances. Simulation results are provided to prove the effectiveness of the proposed strategy.
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