Drive Control Strategy Research Articles

Driving Control Research for Longitudinal Dynamics of Electric Vehicles with Independently Driven Front and Rear Wheels

This paper takes the electric off-road vehicle with separated driven axles as the research object. To solve the longitudinal dynamics driving control problems, vehicle dynamics model, and control strategies were studied and the corresponding simulation was carried out. An 8-DOF vehicle dynamics model with separated driven axles was built. The driving control strategies on the typical roads were put forward. The recognition algorithm of the typical road surfaces based on the wheels’ slip rates was proposed. And the two control systems were designed including the pedal opening degree adjustment control system based on PI algorithm and the interaxle torque distribution control system based on sliding mode control algorithm. The driving control flow of the proposed vehicle combining the pedal adjustment control system with the interaxle torque distribution control system was developed. And the driven control strategies for the typical roads were simulated. Simulation results show that the proposed drive control strategies can adapt to different typical road surfaces, limit the slip rates of the driving wheels within the stable zone, and ensure the vehicle driving safely and stably in accordance with the driver's intention.

Double Servo Synchronization Drive Control Strategy for the Main Slide Carriage of Broaching Machine Based on Disturbance Compensation Algorithm

The electromechanical integration system structure of the electric servo broaching machine, the double servo synchronous drive system and the double ball screw mechanical structure of the broaching machine worktable are introduced. To improve the synchronous operation precision of the worktable when the load changing intermittently, a self-tuning control algorithm is designed based on disturbance identification and compensation which is presented from the perspective of raising the load disturbance inhibition performance of servo drive system. And the principle of the algorithm is analyzed especially. Based on this disturbance compensation algorithm, a control strategy that achieved synchronization driven is designed and the control strategy is simple, reliable and easy to implement. Taking a 20-ton servo broaching machine as the goal, the synchronization performance of the control strategy is tested for a variety of tonnage, on the case of the two main slide carriage ran independently and the worktable work with unbalanced load respectively. The experimental results show that the disturbance compensation algorithm is effective, the synchronization control strategies based on the disturbance algorithm has a good synchronization accuracy, which provides a good theoretical reference and experimental data for the application of double ball screw servo synchronization control system.

Speed Control of SR Drive Using FLC

SRM drives might be used in distant viable applications owing to their simplicity and low cost. In this paper, the SRM Drive is described as that which is used for fuzzy modeling, estimation, prediction and control. A fuzzy-logic-based model is constructed from both static and real-time motor data, and from this model the rotor position is estimated and controlled. The system also incorporates fuzzy logic-based methods to provide a high robustness against noise. In addition, the method uses heuristic knowledge to choose the most desirable phase for angle estimation in order to minimize the effect of feedback error. It is also shown that, by using fuzzy logic, the drive control scheme offers a high robustness and reliability and be suited to a wide range of applications. Simulation results are presented to verify the proposed scheme by using in simulink /mat lab.

A Drive Control Scheme Based on Phase-control for Silicon Micromechanical Gyroscopes

A drive control scheme based on phase-control for silicon micromechanical gyroscopes (SMG) is studied and implemented. By analyzing the dynamical characteristics of the drive mode, the elementary principle of phase control scheme upon which the control loop is built is described and the stability of the loop is presented using the theory of self-sustained oscillation. The phase model of the loop is modeled where a special factor is introduced to realize the conversion from phase-error to frequency-error which is the difference between current working frequency and the resonance-frequency of the drive mode. By building the frequency closed-loop corresponding to the phase-control loop, we find that the order of the loop-filter is just one when considering loop-filter as a first-order-model, which is different from the general phase locked loop (PLL) that is second-order. Elaborate design of the digital phase-control circuit is carried out based on the FPGA platform where a linear phase-detector is applied. Aided by an amplitude control loop, a double-closed-loop drive control circuit is realized. Results show that the drive control loops work precisely.

Decoupled Reference-Voltage-Based Active DC-Link Stabilization for PMSM Drives With Tight-Speed Regulation

Reference-current-based active compensation techniques are widely used to actively damp the negative admittance effect associated with constant power loads in power electronic systems. These methods, however, yield strong coupling among the active compensator, speed, and current control dynamics when applied to motor drives. To overcome these difficulties, a new reference-voltage-based active compensator (RVC) is proposed to mitigate the negative admittance effect in permanent-magnet synchronous motor drives with tight-speed regulation. The proposed RVC suppresses the interaction dynamics between the compensator and motor drive dynamics in the low- and medium-frequency regions and maintains stability and effective damping performance along the whole loading trajectory of the motor drive. In addition, the proposed compensator has a very simple structure, and it can easily be augmented to existing motor drives with minimal interactions with existing drive control strategy and parameters. A theoretical comparative analysis and test results are provided to demonstrate the validity and effectiveness of the proposed technique.

Fault-tolerant driving control of a steer-by-wire system for six-wheel-driving–six-wheel-steering vehicles

This paper describes a fault-tolerant driving control strategy for steer-by-wire system failures in six-wheel-driving–six-wheel-steering vehicles. The fault-tolerant driving control algorithm was designed to obtain vehicle manoeuvrability as close as possible to that of non-faulty vehicles by redistributing the tractive forces of the non-faulty wheels. Since a faulty steer-by-wire system induces a high lateral tyre force, which is the resistance to the yaw motion of the vehicle, a high-wheel slip control strategy is used to minimize the resistive lateral tyre force of the faulty steer-by-wire system. The fault-tolerant driving performance of a faulty six-wheel-driving–six-wheel-steering vehicle was investigated via computer simulations. To investigate the effectiveness of the proposed fault-tolerant driving control algorithm, the fault recovery rate was defined and calculated in terms of the vehicle manoeuvrability. Simulation studies show that the proposed fault-tolerant driving control algorithm can significantly improve the vehicle manoeuvrability, compared with the optimal traction redistribution method.

An Optimal Energy Utilization Self Adjusting Variable Speed Drive Scheme for Large Locomotive Drives

The paper presents a novel GA/PSO self regulating diesel driven AC induction motor controlled drive system using the common AC-DC-AC bus interface for industrial applications and electric vehicle EV-locomotion. The proposed control scheme utilizes the dual regulation multi loop error driven controller using the novel modified proportional plus integral plus derivative PID structure with the added error rate compensating auxiliary loop. The EV-drive is fed from the AC-DC-AC interface of a six-pulse controlled rectifier –DC link and six-pulse voltage source inverter VSI using a coordinated dual action control scheme for firing angle control. The diesel engine is controlled to ensure dynamic of power demand with dynamic voltage and current tracking. A dynamic error driven control scheme is proposed to regulate the motor current to limit any inrush currents and overloading conditions, in addition to motor speed dynamic reference tracking. The Proposed tri loop dynamic error driven self regulated-tuned controllers are also utilized to ensure dynamic energy efficiency, control loop decoupling, drive stability and the unified system efficient energy utilization while maintaining accurate speed reference tracking. The paperpresents soft-computing application of both Multi Objective Particle Swarm Optimization (MOPSO) and Genetic search MOGA optimization and search techniques for dynamic online gain-tuning to optimally adjust the settings of the proposed controllers.

An Artificial-Intelligence Based Induction Motor Speed control and Estimation using conventional MRAS with dynamic reference modal

The Model Reference Adaptive System (MRAS) is probably the most widely applied speed sensor less drive control scheme. This paper proposes induction motor speed estimation using conventional MRAS and AIbased MRAS with stator resistance compensation. A conventional mathematical model based MRAS speed estimation scheme can give a relatively precise speed estimation result, but errors will occur during low frequency operation. Furthermore, it is also very sensitive to machine parameter variations. However, an AIbased MRAS system with a Stator Resistance Compensation model can improve the speed estimation accuracy and is relatively robust to parameter variations even at an extremely low frequency. These are verified by simulation results.

Comparative Assessment of Gate Drive Control Schemes in High Frequency Converter

Several gate drive control schemes are simulated and the results show that the Fixed Duty ratio (FDR) can help drive synchronous rectifier buck converter (SRBC) correctly with low dead time and hence reduce body diode conduction loss. Even though FDR is prone to cross-conduction effects, the design is simple. Apart from that, Adaptive Gate Delay (AGD) and Predictive Gate Delay (PGD) control schemes have also shown high level of efficiency. However, AGD generates more losses. Even though the total switching loss in PGD has not improved much of only 1 %, more than 82 % efficiency has been achieved in spite of the advantage in FDR and AGD schemes.

Comparative Assessment of Gate Drive Control Schemes in High Frequency Converter

Comparative Assessment of Gate Drive Control Schemes in High Frequency Converter

Experimental Evaluation of System Performance for a Machine Tool Cooler Using Inverter Driven Control

Highly accurate manufacture in machining industry cannot be achieved without precise temperature control of the cooling water. However, the machine tool coolers are facing the control hunting of coolant temperature and the dramatic variation of heat load in high-accuracy machining. In this study, experimental investigation on inverter driven compressor for capacity control has been proposed. Effects of using capillary tube and thermostatic expansion valve along with inverter driven control scheme have been investigated comprehensively. Cooling performance and power consumption of the cooler system have been measured at different frequency (hertz) of inverter under specific cooling water temperature. The experimental results reveal that the inverter driven cooler is cost-effective and energy-efficient for high-precision machine tool cooling.

Adaptive Driving Control Strategy for Group of Vehicles Inspired by Fish Schooling

Adaptive Driving Control Strategy for Group of Vehicles Inspired by Fish Schooling

Robust invariant set‐based protection of multi‐mass electrical drives

PurposeThe purpose of this paper is to elaborate a robust model‐based protective control algorithm for multi‐mass motor drives that are subjected to physical and safety constraints on their variables.Design/methodology/approachThe algorithm relies on the off‐line computed maximum robust controlled invariant set or its approximation for the given drive system and imposed constraints. It can be used to patch any existing drive control scheme with a firm constraints satisfaction guarantee. The online patch implementation is actually a simple correction of the control signal computed with the existing control scheme, with a mandatory state observer.FindingsPerformance of the patch is tested on a two‐mass drive system in combination with classical two‐mass drive speed controllers – P+I and reduced state controller. All constraints violations that exist in the presented responses obtained without the protection patch are suppressed by using the patch which shows the effectiveness of the approach. A brief implementation analysis shows that a digital signal processor could be used for online implementation of the controller with the protective patch.Originality/valueRobust invariant sets theory is efficiently and effectively used in a new application area – protection of multi‐mass electrical drives.

ユーザ操作特性のニューラルネットワーク学習に基づく電動アシスト車椅子の操作性向上制御

ユーザ操作特性のニューラルネットワーク学習に基づく電動アシスト車椅子の操作性向上制御

Transient Phenomena and Crater by Pulsed Microgap Arc Discharge in Water

Concerning about the pulsed current discharge in water which used for rough machining process of wire electric discharge machining, we performed measurements of single pulsed arc voltage, observed the developing process of arc discharge by using ICCD camera and examined discharge crater dependence on the discharge current. Based on these result of measurements of transient arc phenomena, we constructed a simple discharge model of arc plasma extension. As a result, we proposed the optimal pulsed discharge current under various processing conditions to improve the machining performance for Wire-EDM. The analysis of the pulsed arc discharge phenomena will form the basis of technology for realizing high-performance drive control schemes for Wire-EDM.

Power control of dual-motor electric drive for tracked vehicles

The fundamental problem of the power control for the driving of a dual-motor drive electric tracked vehicle is analyzed. The tracked vehicle and its electric drive system are mathematically modeled. Power control schemes of the dual-motor drive system is put forward, designed, and analyzed, including the distributed control system and the two control schemes speed-regulation and torque-regulation. The field experiment shows that the two types of drive control schemes realize the driving function of the vehicle feasibly and effectively. Obviously the comprehensive controller and two motors’ controllers are closely coupled in the “speed-regulation” control scheme, in which they must coordinate very well to guarantee the control. Contrastingly, in the “torque-regulation” control scheme, the comprehensive controller and two motors’ controller are not dependent closely when the accuracy and response of the torque controlling is guaranteed. The latter is simpler and more practical than the former.

Drive Control System for Pipeline Crawl Robot Based on CAN Bus

Drive control system plays important roles in pipeline robot. In order to inspect the flaw and corrosion of seabed crude oil pipeline, an original mobile pipeline robot with crawler drive unit, power and monitor unit, central control unit, and ultrasonic wave inspection device is developed. The CAN bus connects these different function units and presents a reliable information channel. Considering the limited space, a compact hardware system is designed based on an ARM processor with two CAN controllers. With made-to-order CAN protocol for the crawl robot, an intelligent drive control system is developed. The implementation of the crawl robot demonstrates that the presented drive control scheme can meet the motion control requirements of the underwater pipeline crawl robot.

A microprocessor-based DC drive control scheme using predictive synchronization

With the advent of fast microprocessors, refinements in the control systems for thyristor-fed DC drives have become possible. In such drives, the problem of detecting the true zero crossings of the input voltage, when the main supply is contaminated with noise spikes, is quite important. A new approach for this problem, based on the predictive synchronization concept, is presented. The algorithm also covers other aspects, like generation of firing pulses and closed-loop calculations for the drive control. The microcomputer-based system has been tested on a separately excited DC motor, and the test results are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>