DC Motor System Research Articles

Controllability and Observability Analysis of DC Motor System and a Design of FLC-Based Speed Control Algorithm

DC motor is an electrical motor widely used for industrial applications, mostly to support production processes. It is known for its flexibility and operational-friendly characteristics. However, the speed of the DC motor needs to be controlled to have desired speed performance or transient response, especially when it is loaded. This paper aims to design a DC motor model and its speed controller. First, the state space representation of a DC motor was modeled. Then, the controllability and observability were analyzed. The transfer function was made based on the model after the model was ensured to be fully controllable and observable. Therefore, a fuzzy logic controller is employed as its speed controller. Fuzzy logic controller provides the best system performance among other algorithms; the overshoot was successfully eliminated, rise time was improved, and the steady-state error was minimized. The proposed control algorithm showed that the speed controller of the DC motor, which was designed based on the fuzzy logic controller, could quickly control the speed of the DC motor. The detail of resulted system performance was 2.427 seconds of rising time, 11 seconds of settling time, and only required 12 seconds to reach the steady state. These results were proved faster and better than the system performance of PI and PID controllers.

Commutation Torque Ripple Reduction Strategy of Brushless DC Motor Drives Based on Boosting Voltage of DC-Link Small Capacitor.

Based on the brushless DC motor system with DC-link small capacitance powered by a single-phase AC power source, a boosting DC-link voltage strategy to reduce the commutation torque ripple of brushless DC motors is proposed in this paper. The control strategy utilizes the special topology of the motor system to boost the DC-link capacitor voltage in a specific zone during the non-commutation period. During the commutation period, the high voltage of the DC-link capacitor is released to meet the voltage requirement of the brushless DC motor during commutation. In order to reduce the commutation torque ripple and ensure the normal operation of the brushless DC motor, each rectifier cycle is divided into three zones according to the characteristics of the periodic change of the rectifier output voltage. Different operation modes are proposed for different zones. In DC-link capacitor boost voltage mode, the DC-link capacitor boosts the voltage to meet the voltage of the motor demand during the commutation period for achieving the purpose of reducing the commutation torque ripple. In this paper, the controller of the brushless DC motor system is designed and the experimental platform is built. The experimental results verified the correctness of the theoretical analysis and the feasibility of the proposed method.

Non-singular terminal sliding mode control of converter-fed DC motor system with mismatched disturbance compensation

Non-singular terminal sliding mode control of converter-fed DC motor system with mismatched disturbance compensation

Sliding Mode Control for a DC Motor System with Dead-Zone

Due to the simple structure of DC motors, the natural decoupling between torque and speed, and its low cost the DC motors have been widely used in electromechanical systems, the paper deals with the experimental method of DC motor Coulomb friction identification that caused the dead nonlinear zone and proposed a nonlinear model of the DC motor, then a sliding mode strategy is developed to control the DC motor in high and low speed for bidirectional operation, The experimental implementation using Dspace 1104 demonstrate that the proposed sliding mode control can achieve favorable tracking performance against non-linearities for a DC motor.

Complete stealthiness false data injection attacks against dynamic state estimation in cyber-physical systems

This paper is concerned with the design of complete stealthiness false data injection (FDI) attacks in cyber-physical systems with Kullback-Leiber divergence (KLD) detector. Different from the FDI attacks against KLD detector in the related researches, the FDI attacks with complete stealthiness can completely remove their influences on innovation. Especially, we present the sufficient and necessary design conditions for achieving the attacks. In addition, the realization method of data-driven attacks based on subspace identification is introduced when the attacker cannot acquire system parameters. And a DC motor system and an unmanned ground vehicle system are employed to verify the effectiveness of our main results.

A mathematical model of a brushed DC motor system

Mathematical model has been proposed for some system that involves a brushed DC motor and it is widely used in industry. Brushed DC motor ideals for applications with a low- torque, manage to change pace or speed and it is widely used in many applications such as x-y table positioning system, conveyor systems and other system that required to use the features that brushed DC motor have. Mathematical model of brushed DC motor in order to verify the performance of the DC motor. In this paper, mathematical model of brushed DC motor will be derived from a brushed DC motor circuit that consist of two parts that are electrical and mechanical part. To validate the functionality of mathematical model, the performance of the brushed DC motor without any controller will be compared with the brushed DC motor with the presence of PI-PD controller that will be tuned by trial-and-error method. Performances of both brushed DC motor with and without controller will be compared in terms of transient response which are, rise time, Tr, settling time, Ts, steady state error, ess and lastly percentage overshoot. At the end of the study, the brushed DC motor with PI-PD controller show a better performance compared to the brushed DC motor without any controller.

Decentralized partial-variable periodic intermittent control for a class of interconnected fractional-order systems

This paper investigates the problems of stability and decentralized control for a class of interconnected fractional-order systems. Firstly, model of the interconnected fractional-order system is established. In the meantime, a decentralized periodic intermittent control technique based on partial variables of the system is developed, and the time cost in the control process and the control cost can be saved by this technique. Secondly, stability criteria by using stability theory of fractional-order systems are derived, respectively. Related results can also be used for estimating regions of stability and applied to practical systems such as the power system, the wireless power transfer(WPT) system and the brushless DC motors (BLDCM) system. Besides, in order to reduce the conservatism of the results, the relevant inequality technique is introduced during the derivation process. At last, illustrative examples are given to demonstrate effectiveness of the obtained results. Compared with existing literatures, simulation results indicate that the conservatism of the results is decreased obviously, and the proposed control scheme can indeed save the time cost and the control cost.

Sliding mode control for direct current motor system with multi-channels and external disturbances

To solve the deficiencies of speed-tracking control for DC motor systems with multiple transmission channels and external disturbances in recent remote-control systems, a second-order super twisting sliding mode control method is proposed. First, the model of a DC motor with multiple channels and external disturbances is considered. Then, an observer in the form of the super twisting algorithm is presented to estimate the states of the system. Furthermore, a second-order super twisting sliding mode control algorithm based on the super twisting observer is designed to track the speed of the DC motor. In this, a nonlinear term is constructed to restrain the external disturbances and jitters while switching among the channels. Also, the proposed method is testified to be stable. Finally, both simulations and practical experiments are conducted to demonstrate the availability of the methodology.

Match and mismatched second-order sliding mode finite-time control with simple parameter conditions and its applications

In this paper, a class of second-order sliding mode controller is proposed for nonlinear uncertain systems. The finite-time stability of the nonlinear uncertain systems is achieved when the sliding mode is matched or unmatched. Compared with the previous second-order sliding mode controller, the parameter conditions of the controller are simple and can be given explicitly, and easy to obtain. Finally, the simulation results of dc motor system and dc–dc buck converter verify the effectiveness of the proposed controller in the case of matching and mismatching.

Incremental networked predictive control of multi‐agent systems with plant‐model mismatch and random communication constraints

In this paper, we discuss the cooperative output tracking problem for networked multi-agent systems (NMASs) with plant-model mismatch as well as random communication constraints in the forward and feedback channels of each agent. In order to compensate actively for random communication constraints, that is, network-induced delays and packet dropouts, an incremental networked predictive control scheme based on a state observer is proposed, which consists of a data buffer, an incremental networked predictor, and a network delay compensator. For both the plant-model mismatch case and the plant-model match case, the stability conditions of resulting closed-loop NMASs are derived, respectively. Using the proposed method, the simulation results for three DC motor systems are presented to indicate that desired tracking performance can be achieved.

English

In this paper, we propose a new fractional-order adaptive generalized predictive control (FA-GPC) design based on a fractional order Romero GPC cost function and online estimation of the plant model using the Recursive Least Square (RLS) algorithm. The plant model is supposed to be linear time-invariant with unknown parameters. The proposed controller is applied in numerical simulation to a DC motor system and compared with the classical adaptive generalized predictive control (A-GPC). Simulation results illustrate the effectiveness of the proposed adaptive FA-GPC controller.

Performance Residual Based Fault Detection for Feedback Control Systems

This brief is devoted to the issues of performance supervised fault detection (FD) for two types of feedback control systems by adopting the novel performance residual as the process evaluator. Specifically, for a class of uncertain state feedback control systems, the boundaries of the performance residual caused by the model uncertainties are analyzed theoretically, then the randomized algorithm is exploited to construct the threshold, aiming at avoiding the worst-case handling and improving the FD performance. The second part considers the general dynamic output feedback control systems with external reference signals. For the FD purpose, the performance residual is derived based on the backward computation, and the state variables of the closed-loop system are constructed by the accessible input, output, and reference signals to release the strict requirements for full state measurements. Finally, the effectiveness of the developed FD approaches is demonstrated on the model of a DC motor system.

Mathematical modeling and analysis of fractional-order brushless DC motor

In this paper, we consider a fractional-order model of a brushless DC motor. To develop a mathematical model, we use the concept of the Liouville–Caputo noninteger derivative with the Mittag-Lefler kernel. We find that the fractional-order brushless DC motor system exhibits the character of chaos. For the proposed system, we show the largest exponent to be 0.711625. We calculate the equilibrium points of the model and discuss their local stability. We apply an iterative scheme by using the Laplace transform to find a special solution in this case. By taking into account the rule of trapezoidal product integration we develop two iterative methods to find an approximate solution of the system. We also study the existence and uniqueness of solutions. We take into account the numerical solutions for Caputo Liouville product integration and Atangana–Baleanu Caputo product integration. This scheme has an implicit structure. The numerical simulations indicate that the obtained approximate solutions are in excellent agreement with the expected theoretical results.

Performance enhancement of BLDC motor using PID controller

Mainly the DC motors are employed in most of the application. The main objective is to Regulate the DC motor system. A motor which displays the appearances of a DC motor but there is no commutator and brushes is called as brushless DC motor. These motors are widespread to their compensations than other motors in relationships of dependability, sound, efficiency, preliminary torque and longevity. To achieve the operation more reliable and less noisy, brushless dc motors are employed. In the proposed work, dissimilar methods of speed control are analysed. In real time submission of speed control of BLDC motor, numerous strategies are executed for the speed control singularity. The modified approaches are the employment of PI controller, use of PID controller and proposed current controller.

Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances

Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances

Neural network based output feedback control for DC motors with asymptotic stability

Measurement noise and unknown dynamics including friction, parametric uncertainties, external disturbances and unmodeled dynamics, broadly exist in any electromechanical system and worsen their control performance. To address this issue, this paper develops an output feedback control scheme with neural network (NN) based unknown dynamics compensation for DC motor systems. First, to avert using the noise-polluted velocity signal, a state observer with an online adapted gain is adopted, which attenuates the impact of measurement noise on tracking accuracy and reduces the conservatism of observer gain selection. Second, one NN with low computation and ease to design, is employed for unknown dynamics compensation, which is beneficial for practical applications. Then a composite control law is constructed to achieve high-accuracy tracking performance. The stability analysis reveals the tracking error can asymptotically converge to zero while facing time-variant unknown dynamics. Results of comparative experiments validate the superiority of the presented method.

Analisis Perbandingan Sistem Kinerja Motor Penggerak Pada Mobil Listrik Kapasitas 75 kWh

Population growth and the increasingly rapid industrial technology to 4.0. So that there was an electric car with an electric motor as the driving force. At first, electric cars used a DC motor system. But the triumph of this DC motor is not long in coming because problems arise when compared to induction motors such as complicated maintenance, much higher prices, and heavier weight than induction motors. In an induction motor, the control is believed to be easier than a DC motor. The induction motor is believed to make it possible to drive an electric car. The advantage of using this induction motor is that it has durability, reliability, if exposed to interference, it remains strong, easy to maintain, and the ability to operate in extreme environments. These advantages can replace the use of DC motors. Where the induction motor receives power from a rechargeable battery, so that the analysis of data from an induction motor for an electric car with the calculation of the electric motor rotation is 1,500 rpm, the motor power itself is 375 kW, the maximum and minimum torque generated is 582 Nm and 271 , 2 Nm, with a battery life of 189.3 hours. The resulting acceleration to reach speeds of 0-100 km / h only takes 5 seconds.

Active fault-tolerant predictive control of networked systems subject to actuator faults and random communication constraints

ABSTRACT The fault-tolerant control problem is investigated for a linear networked system subject to an additive actuator fault as well as random network delays and packet dropouts in the backward and forward channels. To deal with the adverse effects of the actuator fault as well as those communication constraints, an active compensation scheme combining active fault-tolerant control and predictive control is proposed based on the simultaneous estimation of the system state and actuator fault. The obtained closed-loop system is a randomly switched system with bounded round-trip time delays, and the corresponding closed-loop stability condition is derived by using a switched Lyapunov approach. Simulation results for a networked DC motor system are provided to verify the proposed method.

New asymptotic stability criteria for time-delayed dynamical systems with applications in control models

This paper discusses the asymptotic stability of nonlinearly perturbed dynamical systems. A suitable delay-dependent Lyapunov–Krasovskii functional (LKF) including triple integral terms has been formulated in the way that the proposed time-varying dynamical model is asymptotically stable. Using the method of integral inequality, new sufficient stability conditions have been accomplished by way of linear matrix inequalities (LMIs). Furthermore, the novel stability conditions are utilized with many standard practical control system such as power system (PS) with one-area load frequency control (LFC) and two-area LFC, DC motor system and heat exchanger model. Also, the maximum allowable delay bounds (MADBs) are acquired, and it is compared through the time-domain simulations.

Fault Diagnosis Method for Joint Motor Inverter Power Tube of Live Working Robot

The joint motor of live working robot adopts brushless DC motor system. Because of the interference of unstable factors in working environment and the vulnerability of power electronic devices, inverter power tube is the most vulnerable link in the system. Based on the model of brushless dc motor system and simulation analysis of the open circuit fault mode of inverter power tube, this paper summarizes the distortion characteristics of the three-phase current waveform of inverter power tube output. An open circuit fault diagnosis method for inverter power tube based on the variation of three-phase current waveform is presented, and the correctness and feasibility of the method are verified.