Implementation Of Torque Control Research Articles

FPGA Hardware in the Loop Validation of Asynchronous Machine with Full Direct Torque Control Implementation

This article provides a full hardware implementation for direct torque control (DTC) of an asynchronous motor (AM) on the Field Programmable Gate Array (FPGA). Due to its high processing frequency, the FPGA circuit presents an alternative for achieving a high performance DTC implementation. This cannot be achieved by any DSP or microcontroller application. The proposed hardware architecture implements three components of DTC control strategy (the integral proportional speed regulator, the estimation and the switching blocks). This implementation has the advantage of being faster, more efficient and with minimum hardware resources on the target FPGA board. The hardware architecture of the DTC control was designed and simulated in Matlab / Simulink using XSG blocks, then synthesized with the Xilinx ISE 14.2 tool, implemented and validated on the Xilinx Virtex-4 FPGA circuit by Hardware in the Loop process.

Relative study of Classical and fuzzy logic Controllers in Closed Loop BLDC Motor Drive with GA and PSO optimization techniques

In this paper, one simplified transfer function based and detailed mathematical modelling based closed loop structure of a BLDC drive has been established with various combinations of classical controllers. Typical PWM operated control strategy is incorporated in the conventional two-level inverter (VSI) fed permanent magnet (BLDC) motor to minimize the torque ripple. To form a typical closed-loop structure, it comprises of two control loops for better speed and torque control implementation in certain purposes. The system is examined in MATLAB Simulink with various combinations of the classical and fuzzy controllers. Though the inner current loop should be ahead in procedureassociatedwith the external speed loop, thus PI controllers are mostlychosen as a current controller. These controller gains are enhancedby means of two optimization methods of Particle swarm optimization and Genetic algorithm to get a betterresponse by eliminating steady-state error, max peak overshoot and decreasing the rising time, peak time, of the projected BLDC motor drive.

Design and Implementation of Torque Control and Estimation for an Electric Hand-Tool

<p>This paper proposes the design and implementation of torque control and torque estimation for an electric hand-tool. This hand-tool does not require any torque transducer or any Hall-effect sensor. Only some low-cost resistances are used to measure the stator currents of a brushless DC motor, which is used to drive the hand-tool. Novel 3-phase current commands are proposed here to obtain greater torque than traditional 3-phase, square-wave current commands. The output torque of the hand-tool can be estimated and displayed by an LED display. A PI controller is used to achieve the current-loop control. A digital signal processor, TMS-320-F2808 that was manufactured by Texas Instruments, is used to execute the control and estimation algorithms. Experimental results show the correctness and feasibility of the proposed methods.</p>

Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-Type Estimation

The application of traction control systems (TCS) for electric vehicles (EV) has great potential due to easy implementation of torque control with direct-drive motors. However, the control system usually requires road-tire friction and slip-ratio values, which must be estimated. While it is not possible to obtain the first one directly, the estimation of latter value requires accurate measurements of chassis and wheel velocity. In addition, existing TCS structures are often designed without considering the robustness and energy efficiency of torque control. In this paper, both problems are addressed with a smart TCS design having an integrated acoustic road-type estimation (ARTE) unit. This unit enables the road-type recognition and this information is used to retrieve the correct look-up table between friction coefficient and slip-ratio. The estimation of the friction coefficient helps the system to update the necessary input torque. The ARTE unit utilizes machine learning, mapping the acoustic feature inputs to road-type as output. In this paper, three existing TCS for EVs are examined with and without the integrated ARTE unit. The results show significant performance improvement with ARTE, reducing the slip ratio by 75% while saving energy via reduction of applied torque and increasing the robustness of the TCS.

Direct torque control implementation with losses minimization of induction motor for electric vehicle applications with high operating life of the battery

In recent years, the electric vehicle (EV) motorization control takes a considerable interest of industrials. This paper, introduces a new approach to the direct torque control (DTC) with loss minimization of induction machine (IM) drive which is proposed for EV applications. The purpose of this work is to take advantages of the strengths of both techniques DTC and optimal control, the new approach is called: optimal direct torque control (ODTC). Simulation and experimental results obtained show that the losses have been reduced by this method, since the flux varies depending on the load (operating point) and the current consumed by the machine is reduced therefore, the current delivered by the battery was reduced especially during acceleration and deceleration periods it would increase battery life and prevent its discharge. For this the proposed ODTC appears to be very convenient for EV.

Diesel engine torque ripple reduction through LPV control in hybrid electric vehicle powertrain: Experimental results

This paper presents a case of persistent harmonic active control for an HEV (Hybrid Electric Vehicle) powertrain. The active control is adapted for a hybrid powertrain consisting of a one-cylinder diesel engine, coupled with a PMSM (Permanent Magnet Synchronous Machine). The PMSM assures the propulsion of the vehicle, as in conventional mild-hybrid electrical vehicles. In addition, it provides speed ripple reductions of the diesel engine. Due to the HEV speed variation, the active control must match this variation. The speed is introduced as a parameter in order to devise an LPV (linear parameter varying) control strategy. The suitability of LPV control for engine torque ripple reduction is demonstrated through a torque control implementation of the PMSM. The control strategy uses the internal model principle of multi-sinusoidal persistent disturbances. The controller is designed to involve several steps, including LMI-based (Linear Matrix Inequalities) optimization. The results show that, for the first and second orders of the ripple, speed oscillations can be reduced when the speed varies. An industrial test bed is used to validate the effectiveness of the approach and the power consumption of the strategy is analyzed.

A Motor Control Strategy With Virtual Musculoskeletal Systems for Compliant Anthropomorphic Robots

This paper presents a full-body compliant motor control strategy with a virtual musculoskeletal system for anthropomorphic robots. This integrates a task-space control module and a joint stiffness control module on joint torque control implementation. The passivity-based task-space controller manages the Cartesian forces and provides the robot with full-body compliance and balancing ability, and the joint stiffness controller locally stabilizes the desired posture trajectories. We discuss the advantage of the proposed strategy from two practical computational points of view: computational cost in the postural maintenance and redundancy resolution to suppress the internal motions. The implementation issues of the torque controller with hydraulic actuators are also discussed. The effectiveness of the proposed method is empirically validated by four kinds of full-body motion control experiments on our hydraulic biped anthropomorphic robot.