2019
DOI: 10.1109/tpel.2019.2897746
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Predictive Cascaded Speed and Current Control for PMSM Drives With Multi-Timescale Optimization

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Cited by 40 publications
(9 citation statements)
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“…Fuzzy adaptive PID control takes error signal and differential signal of error signal as input signal of controller, and establishes fuzzy rule table based on the influence of proportion, integral and differential signal on control effect, and modifies PID controller parameters through fuzzy rules and input signal value. Some scholars also proposed that the use of synovial membrane control is to replace the PI controller of the outer speed loop in the vector control system [9,10]. The synovial membrane control is designed to switch the hyperplane of the system so that the control system continuously changes the control structure based on different states, makes the system move according to the state trajectory of the predetermined 'sliding mode', and considering that the characteristics and parameters of the system only depend on the designed switching hyperplane and have nothing to do with external interference, the control method is robust.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy adaptive PID control takes error signal and differential signal of error signal as input signal of controller, and establishes fuzzy rule table based on the influence of proportion, integral and differential signal on control effect, and modifies PID controller parameters through fuzzy rules and input signal value. Some scholars also proposed that the use of synovial membrane control is to replace the PI controller of the outer speed loop in the vector control system [9,10]. The synovial membrane control is designed to switch the hyperplane of the system so that the control system continuously changes the control structure based on different states, makes the system move according to the state trajectory of the predetermined 'sliding mode', and considering that the characteristics and parameters of the system only depend on the designed switching hyperplane and have nothing to do with external interference, the control method is robust.…”
Section: Introductionmentioning
confidence: 99%
“…Several control strategies based on conventional controllers, such as proportional-integral (PI) control [5,6] have attracted attention owing to their simplicity and ease of implementation on hardware; however, they are highly dependent on actual drive parameters and require exact parameter values to tune the PI gain to achieve efficient closed-loop performance. To eliminate the parameter dependency on the control design, nonlinear controllers have been developed [7][8][9][10][11][12][13][14]. In previous research [7][8][9], deadbeat control showed excellent speed tracking performance, but it depends highly on the IPMSM parameters to achieve efficient tracking performance by setting the closed-loop poles to zero.…”
Section: Introductionmentioning
confidence: 99%
“…However, this control scheme depends highly on gains and requires extensive knowledge to choose appropriate fuzzy interference rules to achieve excellent speed tracking. Model predictive control (MPC) [12][13][14] is easy to implement and straightforward, but highly depends on the exact model of the IPMSM to predict the future control output variables that ensure adequate closed-loop control effects.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to the defect of high bandwidth, it is advisable to choose the lower one in lowspeed-high-power applications. Otherwise, interference between the inner loop and outer loop is probable [19,20].…”
Section: Introductionmentioning
confidence: 99%
“…The current limitation was one of the objectives of the mentioned cost functions. Although the methods in [20,21] yield acceptable results, they are complicated and burdensome. In [22], the dynamic limiter (DL) was presented.…”
Section: Introductionmentioning
confidence: 99%