A unified control method combined with improved TSF and LADRC for SRMs Using modified grey wolf optimization algorithm

Aiming at the problem of anti-swing and positioning of underactuated crane, this paper proposes a control strategy of underactuated bridge crane based on Linear Active Disturbance Rejection Control and controller parameter optimization method. Distinguished from other conventional control strategies of bridge crane, this method does not require any approximate decoupling or linearization of the crane model and allows the model to have some certain uncertainty, friction and air resistance of the system are also considered. At the same time, for the parameter tuning problem of the sensors, the bird swarm optimization algorithm is applied to optimize the parameters. And the excellent control performance of this method has been proved by simulation.

In this study, a type of direct-drive gearshift system integrated into a motor-transmission coupled drive system is introduced. It used two electromagnetic linear actuators (ELAs) to perform gearshift events. The adoption of ELAs simplifies the architecture of the gearshift system and has the potential to further optimize gearshift performance. However, a number of nonlinearities in the gearshift system should be investigated in order to enhance the performance of the direct-drive gearshift system. An active disturbance rejection control (ADRC) method was selected as the principal shifting control method due to the simple methodology and strong reliability. The nonlinear characteristics of the electromagnetic force produced by the ELA were subsequently reduced using the inverse system method (ISM) technique. The ADRC approach also incorporated an acceleration feedforward module to enhance the precision of displacement control. The extended state observer (ESO) module used a nonlinear function in place of the original function to improve the ability to reject disturbances. Comparative simulations and experiments were carried out between the ADRC method and improved ADRC (IADRC) method. The outcomes demonstrate the effectiveness of the designed control method. The shift force fluctuates less, and the shift jerk decreases noticeably during the synchronization procedure. In conclusion, combined with the optimized IADRC method, the direct-drive gearshift system equipped with ELAs shows remarkable gearshift performance, and it has the potential to be widely used in motor−transmission coupled drive systems for EVs.

Aiming at the characteristics of the Autonomous Underwater Vehicle (AUV) with strong non-linearity, strong coupling, and susceptibility to complex external disturbances, establishing a 6-degree-of-freedom dynamics and kinematics model of the AUV, and Linear Active Disturbance Rejection Control (LADRC) method was used. LADRC method has few control parameters. In the experimental results, compared with PID method, LADRC method not only improves the speed but also improves the precision of AUV motion control.

Decentralized Active Disturbance Rejection Control for the Benchmark Refrigeration System

LLC resonant converter has gained popularity in a wide number of industrial applications due to its high efficiency and power density. However, disturbances such as input voltage fluctuations and parameter perturbations make the control of output voltage still a challenging problem. In order to reject the influence of disturbances on the stability of the output voltage, the linear active disturbance rejection control (LADRC) method is proposed in this paper. First, based on the equivalent circuit method, the analytical expression for control to output voltage is obtained and compared with the second-order transfer function obtained by the swept frequency method in the frequency domain. The second-order model that does not change the characteristics of the LLC resonant converter is used for analysis and design of the controller. Then, the linear extended observer (LESO) is designed to estimate the value of state variables and total disturbance. Finally, the simulation results demonstrated that LADRC can effectively control the stability of the output voltage compared with PI controller.

Nonlinear speed tracking control of PMSM servo system: A global robust output regulation approach

To enhance the control performance and improve the disturbance rejection capability of the manipulator, a Linear Active Disturbance Rejection Control (LADRC) method with self-tuning parameters is proposed, based on the improved dung beetle optimizer (LCDBO). LADRC can estimate and compensate for the unmodeled dynamics and external disturbances in the system as a total disturbance. However, its parameters are strongly coupled and difficult to tune. Therefore, this paper introduces the improved dung beetle optimizer. Lévy flight and Cauchy mutation strategies are incorporated into the standard dung beetle optimizer (DBO) to further boost the optimizer’s performance and realize the optimal adjustment of the LADRC parameters. Applied to the manipulator trajectory tracking control problem, the LCDBO algorithm achieves a faster convergence speed and higher solution precision compared to the original DBO algorithm. When the controller parameters optimized by the LCDBO algorithm are applied to the manipulator trajectory tracking problem with disturbance torques, it results in high trajectory tracking accuracy and excellent disturbance rejection performance.

This paper presents a simplified active disturbance rejection control (ADRC) method for implementing the DC capacitor voltage in Z-source constant. Active disturbance rejection control method is the development of PID control. It is suit ab le for the inverter with variable input. A simplified ADRC method is used in this paper to reject the disturbance from variable input in Z-source inverter. In its ESO module part, Kalman filter is used to estimate the state and the disturbance, which can approach the true value at the extreme, and reduce the computation time. The simulation result shows the control method can achieve the control requirement satisfactory.

In the theoretical controller design of the high-speed supercavitating vehicle (HSSV), there will always be the problem that the physical saturation limit has to be exceeded by the motion range of the actuator to satisfy the requirements of stable motion of the supercavitating vehicle. This paper proposes a solution which could satisfy the requirements of stable motion of the vehicle without saturation of the actuator. First of all, the rotation range of the actuator and the motion performance of the vehicle with robust controller are analyzed under the condition where saturation is neglected. Then, according to the analysis conclusion, the controller is improved by using linear active disturbance rejection control (LADRC) method, which provides the additional control component to reduce the rotation angle and rotation speed of the actuator. Finally, the simulation proves that the solution could realize the stable motion of vehicle without saturation of actuator.

There exists a steady-state error in the closed-loop system output with some conventional linear active rejection control approaches when the pitch channel control variable of the near space vehicle is the angle of attack. In this study, a cascaded linear active disturbance rejection control approach based on the cascaded control idea is proposed. Both the inner-loop controller and the outer-loop controller are designed by the linear active disturbance rejection control method. The inner-loop is built by angular rate feedback to improve dynamic performance of the closed-loop system, and the outer-loop is built by angle of attack feedback to remove the undesired steady-state error. The approach is employed to a hypersonic near space vehicle autopilot. The numerical simulations show that the proposed approach preserves the performances on time domain and frequency domain as good as those of the conventional active disturbance rejection control approaches, and it has the better performances on disturbance rejection and angle of attack command tracking accuracy than those of some previous active disturbance rejection control approaches.

Considering the internal and external disturbances of the direct‐driven wind energy conversion systems, i.e. multi‐variable coupling, non‐linear characteristic and modelling error, and the environmental disturbances, an adaptive sliding mode observer with active disturbance rejection control (ADRC) method for a direct‐driven permanent magnet synchronous generator (PMSG) based wind power conversion system is proposed to track the maximum power point precisely. First, adaptive sliding mode observer based on phase‐locked loop can effectively observe the rotor position information of PMSG, and weak the inherent chattering of traditional sliding mode. Second, ADRC can enhance the anti‐disturbance ability when the system is under linear state feedback. Finally, the simulation results show that this method can estimate the rotor position exactly, and the system has the strong robustness and the optimum power tracking performance.

To solve the taxiing control problem under lack of nose wheel steering system and rudder, a control approach which uses differential propeller thrust to control taxiing is proposed, with full-wing solar-powered UAV (FSUAV) as the research model. This study gives the taxiing mathematical model of FSUAV and designs a taxiing controller based on linear active disturbance rejection control method (LADRC). Simulations are conducted to demonstrate the effectiveness and robustness of the designed controller and compare with PID controller.

The purpose of this paper is to investigate the capabilities and to compare the performance of two popular 8/6 pole and 10/8 pole switched reluctance motor (SRM) for electric vehicle and hybrid electric vehicle applications. This article glimpses an overview of Solar Photovoltaic (PV) and a battery-based inverter topology for a 7.5kW rated SRM drives with 8/6 pole and 10/8 pole. A closed loop hysteresis current control for both the type of SRM motor is implemented. The simulation results of both the SRM drives are presented for variable speed and motor acceleration. This paper also presents the performance indices of battery, Solar PV, and a boost converter operated with perturb and observe (P&O) maximum power point tracking (MPPT) algorithm using with change in solar irradiation. Both the SRM drive systems are simulated in MATLAB/Simulink environment and comparative results presented.

This paper presents the application of adaptive algorithm for the speed control of Switched Reluctance Motor (SRM) with load series DC machine. This system is feeding by Photovoltaic (PV) system. SRM is a highly nonlinear control plant and operates in saturation to maximize the torque output. A systematic approach to the modeling of highly nonlinear SRM drive system which includes the motor, converter, and its electronic controller is presented. Hysteresis current controlled mid-point converter is used to feed four phase, 8/6 pole SRM. Nonlinearity caused by magnetic saturation is accounted for accurate and real-time simulation of drive performance by considering experimental data of magnetization and static torque characteristics. Performance analysis of SRM drive is reported for a wide range of operating conditions via starting, reversal and load perturbation dynamics the performance indices of SRM drive system operating with adaptive controller for speed control and using the PI classical controller turn on angle for starting operation (dynamic operation). The results illustrate that the approach used are suitable for dynamic analysis and steady state of SRM fed from a PV system. It ensures smooth starting without initial hesitation and reduce the torque ripples. This proposed is explain the comparison between two technique for SRM (four phases) control system. First controller is adaptive speed control and the second controller is adaptive torque control.

<div class="section abstract"><div class="htmlview paragraph">In order to make lateral motion robust and stable for smart chassis, a lateral motion controller is proposed in this paper taking structural uncertainty into account. Firstly, a new lateral error model is developed to describe the lateral motion problem. Secondly, the kernel of the lateral motion controller is active disturbance rejection control method, that is, a second order linear tracking differentiator is embedded between lateral error model and first order linear active disturbance rejection control (FO-LADRC). And every module of the lateral motion controller has been designed in detail, which contains first-order linear tracking differentiator (LTD1), second-order linear tracking differentiator (LTD2), linear extended state observer (LESO), and linear state error feedback (LSEF). Finally, six typical scenarios with two conditions are designed to validate the controller referencing to the test standard, considering the structural uncertainty, including wheelbase length and steering ratio. The results illustrate that the developed lateral motion controller has excellent performance in both robustness and stability compared with pure pursuit and FO-LADRC when there are structural uncertainty in wheelbase length or in steer ratio.</div></div>