Deadbeat Predictive Control Research Articles

Cascaded Deadbeat Predictive Control for the Unipolar Sinusoidal Excited SRMs Based on the Adaptive Fading Kalman Filter

Cascaded Deadbeat Predictive Control for the Unipolar Sinusoidal Excited SRMs Based on the Adaptive Fading Kalman Filter

Research on Predictive Speed Control Scheme for Surface-Mounted Permanent Magnet Servo Systems

In order to improve the dynamic response and disturbance rejection performance of electric machines, a deadbeat predictive speed control (DPSC) scheme for a permanent magnet synchronous motor (PMSM) is proposed. To begin with, a DPSC controller was proposed with the purpose of achieving precise control for the next control cycle, and the control parameters were determined based on the optimal parameter design method. For better application, performance comparisons were made with a conventional PI control, and the mismatch effects of inertia and torque were analyzed. In order to improve the disturbance rejection performance of the system, an extended sliding mode observer (ESMO) was constructed to compensate for disturbances. Experimental verification with a conventional PI control indicates that the proposed DPSC control can reduce the speed response time from 0.675 s to 0.650 s. When the electric machine operates stably and is applied to a torque disturbance of 0.4 Nm, the speed fluctuation and settling time can be reduced from 9 rpm and 1.7 s to 6 rpm and 0.5 s, respectively. This proposed method effectively enhances the speed control performance of PMSM and can be applied to high-performance electric machine applications.

VSG Sequence Impedance Modeling and Stability Analysis of Dead-Beat Control

Virtual Synchronous Generator uses dead-beat predictive control in the voltage and current loop to improve the dynamic response speed of the system, but the presence of zero-order hold and computation time can lead to system instability. To address this issue, this paper adopts an improved dead-beat predictive control strategy for VSG. This is achieved by linear interpolation to forward predict voltage-current reference values to reduce the impact of delay, while introducing error compensation coefficients to enhance the stability of the voltage-current inner loop of VSG. The selection of error compensation coefficients is based on closed-loop impulse response functions. A harmonic linearization method is used to construct a complete sequence impedance model of VSG, and it's stability is analyzed. The results indicate that VSG's negative sequence impedance exhibits instability in the low-frequency range. To address this, a method of introducing a virtual resistor into VSG is proposed to improve stability. By constructing a sequence impedance model of VSG that includes virtual resistance, the variations in system stability under different virtual resistances and grid impedances are analyzed. The effectiveness of the proposed method is verified by building a VSG model.

Geometric principle-based deadbeat predictive control with low-torque ripple for dual three-phase permanent magnet synchronous motors

Geometric principle-based deadbeat predictive control with low-torque ripple for dual three-phase permanent magnet synchronous motors

Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-Tuned Shunt Hybrid Active Power Filters

This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive power filter and the grid impedance. Furthermore, it can be integrated into passive filters to enhance their filtering performance. In this paper, a digital algorithm is proposed for managing the performance of each converter leg accurately. To do so, an exact model of the high-order system is developed, and the transfer function of the plant is calculated in continuous and discrete time domains. Then, a predictive deadbeat technique for HAPF current control is presented, which benefits from high accuracy, fast dynamics, and low sensitivity to system parameter mismatches. Extensive simulation and experimental tests are conducted and the results match well to confirm the success and appropriate performance of the overall system. Also, performance comparison with conventional solutions demonstrates the superiority of the suggested filtering technique.

An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF

An Enhanced Parallel-Observer-Based Deadbeat Predictive Control Method for PMSM With Non-Sinusoidal Back-EMF

Multiple-Voltage-Vector Model-Free Predictive Deadbeat Control with Updated Reference Voltage Vector for PMSM Drive

Multiple-Voltage-Vector Model-Free Predictive Deadbeat Control with Updated Reference Voltage Vector for PMSM Drive

A Reconstructed Nearest Level Modulation Method With ABC Coordinate-Based Deadbeat Predictive Control for the Four-Level Single Flying Capacitor Converter

A Reconstructed Nearest Level Modulation Method With ABC Coordinate-Based Deadbeat Predictive Control for the Four-Level Single Flying Capacitor Converter

Three-Stage Duty Cycle-Based Deadbeat Predictive Torque Control for Three-Phase SPMSMs With CMV Reduction

Model Predictive Torque Control (MPTC) is highly regarded for its simple structure, rapid dynamic response, and optimized control performance when applied to actual motor driving systems. However, conventional MPTC techniques often lead to undesirable effects in three-phase inverter-based surface-mounted permanent magnet synchronous motors (SPMSMs), such as high electromagnetic torque, stator flux ripples, and significant current harmonic distortion. Notably, the generalized MPTC approach generates a substantial common mode voltage (CMV) that can cause damage to the motor bearing and winding insulation in SPMSMs. To address these issues, this paper proposes a three-stage duty cycle-based deadbeat predictive torque control (DCDPTC) technique for SPMSMs. The proposed technique leverages the volt-second equilibrium theorem by aligning the duty cycles with the predicted electromagnetic torque, stator flux, and their respective target values while accounting for extreme cases, accordingly electromagnetic torque and stator flux ripples as well as the total harmonic distortion (THD) of the stator current are minimized. In order to improve the system robustness, the duty cycle is limited to avoid the overmodulation. Furthermore, optimized switching sequences are meticulously arranged to ensure the CMV is lowered and the minimum number of switching transitions is maintained while utilizing a fixed switching frequency. The proposed technique is simplified. Its resultant performance is validated by experimental results.

A Review on Predictive Control Technology for Switched Reluctance Motor System

The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control approach, is increasingly applied to enhance the dynamic performance and operational efficiency of SRMs. This review provides a comprehensive overview of the current state of research on PC strategies of SRMs and classifies PC technologies, such as generalized predictive control (GPC), hysteresis predictive control (HPC), deadbeat predictive control (DPC), and model predictive control (MPC). It summarizes the PC schemes from the aspects of predictive current control (PCC), predictive torque control (PTC), and other PC, and it discusses the current trends in technology development, as well as potential research directions. The insights presented herein aim to facilitate further investigations into predictive control techniques for SRM.

Sensorless real-time implementation-based FS-MPCC and deadbeat predictive control with delay and dead-time compensation of PMSM using MRAS and T‐S fuzzy speed controller

Sensorless real-time implementation-based FS-MPCC and deadbeat predictive control with delay and dead-time compensation of PMSM using MRAS and T‐S fuzzy speed controller

Robust Deadbeat Predictive Direct Speed Control for PMSM With Dual Second-Order Sliding-Mode Disturbance Observers and Sensitivity Analysis

A novel robust deadbeat predictive direct speed control (RDP-DSC) method for permanent magnet synchronous motor (PMSM) is proposed to improve the speed control bandwidth and eliminate the conventional cascaded speed control structure. Firstly, the basic DP-DSC method with one-step ahead time delay compensation is introduced briefly. Then, the control sensitivity analysis issue on the electrical and mechanical parameter mismatches, external disturbance, and inverter nonlinearity are inspirationally discussed. Further, based on the analysis above, a novel dual second-order sliding-mode disturbance observer (SOSMDO) structure is proposed for both current and speed disturbance suppression. The proposed RDP-DSC equipped with SOSMDO is presented with full control errors completely compensated. Meanwhile, the undesired chattering phenomenon caused by the switching function in the existing popular sliding-mode observers is eliminated by the proposed SOSMDO. Rich experiments are then performed, showing that the proposed method has strong enough robustness to various parameter mismatches and external disturbances while the system still holds the direct speed control methods' advantages, such as high response speed and satisfying bandwidth.

Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on Sliding Mode Observer With Enhanced Current and Speed Tracking Ability Under Disturbance

For model predictive current control (MPCC) strategy, its poor dynamic response caused by speed loop PI control and poor parameter robustness are the main factors restricting its development. So this paper proposes a model predictive current control based on sliding mode observer with better tracking ability of current and speed under disturbance. First, this paper analyzes the effect of motor parameter mismatches on current predicted values from multiple perspectives. And a sliding mode disturbance observer is designed to compensate lumped disturbances including parameter mismatches and unmodeled dynamic disturbances into prediction model. Then, the speed loop PI controller in model predictive current control is replaced by a deadbeat predictive controller to improve response speed of the speed loop. Meanwhile, the sliding mode load torque observer is constructed to observe the load torque and sends it into the deadbeat predictive controller to improve the anti-load disturbance performance of the control system. Furthermore, a sliding mode reaching law based on sinusoidal saturation function is proposed to suppress chattering of sliding mode observer. The experiments demonstrate that the proposed control strategy not only has faster dynamic response but also has good speed and current tracking performance under lumped disturbance and load disturbance.

Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems

Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work efficiency of PMSMs. This paper provides an overview of the research status of PMSM-based predictive control strategies. The deficiencies of the three most popular predictive schemes, deadbeat predictive control, finite-control-set model predictive control, and continuous-control-set model predictive control, and existing improvement strategies such as delay compensation schemes, robust control schemes, and multi-vector control schemes, are summarized. Finally, current technological trends are discussed, emphasizing future research directions for predictive control in PMSM drive systems.

Improved Deadbeat Predictive Thrust Control for Linear Induction Machine With Online Parameter Identification Based on MRAS and Linear Extended State Observer

This paper proposes an improved deadbeat predictive thrust control (IDPTC) for linear induction machine (LIM) drives based on online parameter identification. First, to achieve fast thrust dynamic response with low thrust ripples, a DPTC method is induced based on the reference primary flux vector calculator and discrete-time LIM model. Second, a novel online magnetizing inductance identification is designed based on back electromotive force model reference adaptive system (MRAS) and linear extended state observer. Compared to the conventional MRAS identification strategy, there is no pure integration and differential operation in both reference and adaptive models for the proposed method, so that integral initial values, dc bias and high-frequency-noise amplification problems can be solved. Then, to improve the robustness of DPTC against magnetizing inductance mismatch, the proposed online parameter identification is further combined with the DPTC method, in which the flux can also be estimated as an intermediate variable without conventional parameter-based flux observer. Finally, comprehensive simulation and experiments have been conducted on one 3 kW arc induction machine, showing that the proposed method can effectively eliminate the influence of magnetizing inductance mismatch on the control performance and significantly improve the parameter robustness compared to the existing DPTC methods.

Dynamic control strategy for bi-directional DC/DC converters to suppress the dc-link voltage fluctuation in motor driver systems

This paper presents an improved dc-link voltage control strategy for bi-directional DC/DC converter to reduce the fluctuation of dc-link voltage. The bi-directional DC/DC converter is the top widely-adopted topology for machine drives. However, a wild dc-link voltage fluctuation may cause the overvoltage accident if the load is suddenly altered. Therefore, a novel energy-balanced dc-link voltage control scheme is presented. Through the analysis of the instantaneous energy balance of the whole system, this paper draws a conclusion that the energy stored in the dc-link capacitor will fluctuate in the dynamic process. Then, when the output power changes, the influence of the proposed control strategy on the dc-link voltage fluctuation is analyzed. Moreover, some deadbeat predictive control method has been applied within the current inner loop to improve systematically dynamic response ability. As the energy consumption can be compensated, the fluctuation of dc-link voltage is constrained in sudden load change. Small-signal model has been presented to analyze dynamic performances. As a result, experimental outcomes verify that above method is equipped with superior dc-link voltage fluctuation suppression capability, and the current overshoot is reduced and dynamic performance is improved. What is more, the controller design is simple to realize and has a bright application prospect.

A Synergistic Predictive Fusion Control Method and Application for Steering Feel Feedback of Steer-by-Wire System

In the steer-by-wire system of an intelligent vehicle, the steering feel feedback system provides accurate and real-time steering feel for a driver by precisely controlling the output torque of the steering feel feedback motor. The precision of output torque depends on the control effect of motor current, which is mainly affected by the key factors, including the dynamic performance of the control system, sampling error, and motor parameter variation. To provide accurate and real-time steering feel, how to design a control method considering the above influence factors has been an acknowledged challenging issue. To solve this problem, a synergistic predictive fusion (SPF) control method is proposed in this article. First, to improve the dynamic performance of the control system, the combined synergistic current control algorithm with the deadbeat predictive (DP) control principle and the synergistic predictive (SP) current control is proposed. Under this framework, a current correction algorithm is designed for the sampling error, and a weighting factor is obtained from the current ratio to adjust the weight of the sampling current. Meanwhile, considering the influence of parameter variation on current control error, an improved Adaline network parameter estimation algorithm is constructed to dynamically adjust motor parameters, and an input signal feedback adjustment step factor is added to enhance the parameter tracking ability. Finally, the simulation and test prove that using the proposed method can track steering feel more quickly (up to 10.61%) and more accurately (up to 13.56%) than using the traditional DP control method.

State Feedback and Deadbeat Predictive Repetitive Control of Three-Phase Z-Source Inverter

In this paper, a composite control method combining repetitive control (RC) and deadbeat predictive control (DPC) is proposed to reduce the harmonic content of output voltage and improve the quality of voltage waveform, in order to solve the problem of voltage distortion caused by linear and nonlinear loads at the common grid-connected point of microgrid. First, the mathematical model of three-phase Z-source inverters is established, and the model is transformed into a state space expression. Then, Lyapunov’s theory is used to find the design conditions of the state feedback control law based on linear matrix inequality. Finally, the parameters of the controller are solved by linear matrix inequality (LMI), and the parameter design of the improved repetitive controller is optimized. Furthermore, the system response speed is improved, and the system stability and robustness are guaranteed by combining the deadbeat predictive control technology. The simulation and experimental results verify the accuracy and superiority of the proposed deadbeat predictive repetitive control (DPRC) based on parameter optimization.

Sliding-Mode-Based Deadbeat Predictive Current Control for PMSM Drives

Deadbeat predictive current control (DPCC) has become a research hotspot for permanent magnet synchronous motor (PMSM) drive systems due to its advantages of short dynamic response time and superior current tracking performance. However, the speed controller in traditional deadbeat current control usually consists of a linear proportional-integral (PI) controller, which cannot quickly limit uncertain disturbances from internal or external sources. Moreover, DPCC is more sensitive to model parameters. In order to reduce the parameter sensitivity of the DPCC method and improve the fast-limiting disturbance capability of the speed controller, a sliding-mode-based deadbeat predictive control method is presented in this article. First, the traditional DPCC is introduced; then, a variable-speed sliding-mode reaching law is designed, and a sliding-mode speed controller is developed using this law to improve the antidisturbance capability of the speed controller. Moreover, in order to suppress the negative impact of the parameter mismatches on the control performance, the parameter mismatches are considered when building the system model, and a sliding-mode-based deadbeat current controller based on the same sliding-mode reaching law as the speed controller is presented. Finally, the experimental results show that the proposed method has a better control performance.

Predictive Trajectory Control Strategy for Permanent Magnet Synchronous Motor Drives Based on Deadbeat Predictive Flux Linkage Control Method

Deadbeat predictive controller features a two-sample step response with the existence of one-sampling-period digital delay in a motor drive. However, voltage deficiency is common during abrupt torque change and it inevitably degrades the dynamic performance. In this article, a novel predictive trajectory control strategy with improved dynamic performance is presented for permanent magnet synchronous motor drives. The predictive trajectory controller is developed based on a deadbeat predictive flux linkage controller, and it aims to achieve fast current transient response considering the voltage and current constraint. With the control scheme, deadbeat response is achieved for the case of sufficient voltage margin, and transient performance is optimized for the case of insufficient voltage margin. Solution of the optimization problem is visualized with a geometrical description and analyzed in different spaces. In addition, the trajectory optimization is combined with dynamic overmodulation algorithm to simplify the computation and save the code execution time. Experimental results are finally provided to validate the excellent performance and low computational cost of the proposed control scheme.