Direct thrust‐controlled PMSLM servo system based on back‐stepping control

Abstract

In this paper, an alternative approach to achieve speed, thrust, and flux regulation is presented for the drive system of permanent magnet synchronous linear motors (PMSLMs). The conventional proportional-integral (PI) speed regulator based direct thrust control (DTC) of PMSLM has problems of degrading the system performances, such as high thrust, flux, and current ripple, high-frequency noise caused by high thrust ripples, and the difficulty to accurately adapting to varying parameters and external loads. We propose an adaptive back-stepping control based DTC for PMSLM servo system. The PI speed regulator and two hysteresis regulators in the classical DTC system are substituted by one adaptive back-stepping controller. The uncertainties in the system are estimated online using adaptive techniques. Moreover, a space vector modulation (SVM) scheme is employed to ensure that the inverter switching frequency remains fixed. The stability of the proposed method is verified by the Lyapunov stable theory, which is difficult to achieve in the classical DTC method. Simulations are conducted to verify the effectiveness of the proposed method.

Optimization of Linear Switched Reluctance Motor for Single Neuron Adaptive Position Tracking Control based on Fruit Fly Optimization Algorithm

“…Realizing high-performance dynamic control of motors under multifactor constraints has been widely investigated to overcome complex factors, such as strong coupling, nonlinear, and multitime variation [8][9][10][11][12][13][14][15][16][17][18][19][20] integral-derivative (PID) controllers occupy a dominant position in the existing industrial control field because its structure is simple and easy to implement. Maslan et al [8] applied a PID controller to an LSRM by combining three different heuristic optimization techniques namely, PIDparticle swarm optimization (PSO), fuzzy PSO, and genetic algorithm (GA)-PSO.…”

“…The control performance is poor when the rules are excessively few, whereas the performance requires a long time period when the rules are excessive. Modern control methods, such as adaptive, sliding mode, backstepping, and passive control, have been applied to the position tracking control of motors [11][12][13][14][15][16][17][18][19]. Ammar et al [11] adopted an adaptive control strategy, namely, model reference adaptive controller (MRAC) to adjust the torque and stator flux of asynchronous motors to ensure robust control and small sensitivity of machine parameters compared with traditional PI controllers.…”

“…Therefore, the above methods were combined with other methods. Tang et al [17] extended adaptive backstepping control to the thrust and magnetic chain ring of linear motor and realized the integrated design of speed loop, thrust, and magnetic chain ring. However, the design of position loop causes "computational explosion" during derivation.…”

Improved neuroendocrine intelligent control for a permanent magnet linear synchronous motor

“…Permanent magnet linear synchronous motors (PMLSMs) have been widely used in precision servo systems, transportation, and other fields due to their remarkable characteristics, which include direct linear feed motion and excellent performance in acceleration, accuracy, and other applications. [1][2][3] With the development of linear motor applications, the corresponding servo control is no longer limited to the traditional proportion integration differential (PID) control, [4][5][6][7] especially in the high-precision servo control system research. Given the complexity of the mathematical model of the linear motor, the problems of thrust fluctuation and variable parameters encountered during linear motor control, many researchers have sought to study modern control, intelligent control, and other linear motor control strategies.…”