Simulation of Hybrid Electrical Vehicle Automated Mechanical Transmission Control System

2010 ◽  
Vol 129-131 ◽  
pp. 7-11
Author(s):  
Jin Dong Zhang ◽  
Gui He Qin ◽  
Yong Ping Huang ◽  
Xiao Long Zhang
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Disturbance Observer ◽  
Mechanical Transmission ◽  
Transmission Control ◽  
Controlling System ◽  
Electrical Vehicle ◽  
Motor Control System ◽  
And Control ◽  
Hybrid Electrical Vehicle

For developing motor driven automated mechanical transmission of hybrid electrical vehicle, adjust and control the gear selecting motor, the gear shifting motor and the clutch motor. In the research of position-PID controller and robust disturbance observer, an automated mechanical transmission system based on position-PID was given. With Matlab, the position-PID controlling arithmetic and the controlling system models of the motors were built. Experimental results show that, a highly efficient and reliable automated mechanical transmission motor control system was developed.

A Nonlinear Controller for PMLSM Control System Based on Tracking Differentiator

2011 ◽  
Vol 383-390 ◽  
pp. 5796-5802 ◽  
Author(s):  
Guang Ya Yan ◽  
Wu Ai ◽  
Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Low Noise ◽  
Nonlinear Controller ◽  
Tracking Differentiator ◽  
Nonlinear Pid Controller ◽  
Motor Control System ◽  
Noise Amplification ◽  
And Control

This paper introduces tracking differentiator based on the classical PID control in order to arrange the transitional process according to the set point and control system parameters, solving the contradictions between speed and overshoot of the manipulated variable in the traditional PID control. At the same time, tracking differentiator provide an effective method of calculating differential with low noise amplification. Nonlinear PID controller adopts a nonlinear combination of error, error differential and error integral to calculate the controlled variable in a very effective way. Applying this kind of nonlinear PID controller to the permanent magnet linear synchronous motor control system , the experimental results show that PMLSM can follow the speed command quickly in no overshoot, and has strong robustness, good static and dynamic characteristics.

Effect and Simulation on Control System of Boiler Parameters

2013 ◽  
Vol 411-414 ◽  
pp. 1711-1715
Author(s):  
Bing Hua Jiang ◽  
Li Fang ◽  
Hang Biao Guo
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Temperature Control ◽  
Pid Controller ◽  
Static Stability ◽  
Temperature Control System ◽  
Integrated Process ◽  
And Control

In this paper, taking integrated process and control platform as the background , did the research on mathematical model of boiler liner and parameters on the performance of the control system. First, created a mathematical model of the temperature of the boiler liner. Second, selected the PID controller to control the temperature control system in the case of the PID controller parameters remained unchanged. Finally, changed the boiler parameters, analyzed and compared the simulation waveforms of different boiler parameters in order to get the conclusion that different parameters had different influence on the static stability of the temperature control system and the temperature control system had anti-jamming capability.

Comparative Analysis of DC Motor Control System

2016 ◽  
Vol 817 ◽  
pp. 111-121 ◽  
Author(s):  
Wojciech Mitkowski ◽  
Marta Zagórowska ◽  
Waldemar Bauer
Keyword(s):  
Control System ◽  
Comparative Analysis ◽  
Pid Controller ◽  
Closed Loop ◽  
Control Method ◽  
Closed Loop System ◽  
Motor Shaft ◽  
Dc System ◽  
Dc Motor Control ◽  
Motor Control System

In this work we will present a control method for DC system – the so-called practical PID controller, where the inertia of both the derivative and the actuator is included. The original element in this paper consists of a comparative analysis of various controller stabilizing the position of motor shaft. In a system with ideal gain, K>0 ensures asymptotic stability of the closed-loop system. Taking into account this inertia along with the inertia of the derivative, we obtain limited values 0<Kp<Kgr. A similar restrictions apply to a system with delay.

scholarly journals Research of Compound Control for DC Motor System Based on Global Sliding Mode Disturbance Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
He Zhang ◽  
Liang Ge ◽  
Mingjiang Shi ◽  
Qing Yang
Keyword(s):  
Control System ◽  
Disturbance Observer ◽  
Motor System ◽  
Sliding Mode ◽  
Dc Motor ◽  
Sliding Mode Disturbance Observer ◽  
Modeling Errors ◽  
Parameter Variations ◽  
Dc Motor Control ◽  
Motor Control System

Aiming at the problems of modeling errors, parameter variations, and load moment disturbances in DC motor control system, one global sliding mode disturbance observer (GSMDO) is proposed based on the global sliding mode (GSM) control theory. The output of GSMDO is used as the disturbance compensation in control system, which can improve the robust performance of DC motor control system. Based on the designed GSMDO in inner loop, one compound controller, composed of a feedback controller and a feedforward controller, is proposed in order to realize the position tracking of DC motor system. The gains of feedback controller are obtained by means of linear quadratic regulator (LQR) optimal control theory. Simulation results present that the proposed control scheme possesses better tracking properties and stronger robustness against modeling errors, parameter variations, and friction moment disturbances. Moreover, its structure is simple; therefore it is easy to be implemented in engineering.

scholarly journals A Simulation Model of the Automotive Power System Based on the Finite State Machine

2014 ◽  
Vol 8 (1) ◽  
pp. 101-106
Author(s):  
Hongbin Li ◽  
Dong Li
Keyword(s):  
Control System ◽  
Power System ◽  
Simulation Model ◽  
Finite State Machine ◽  
Simulation Experiment ◽  
State Machine ◽  
Mechanical Transmission ◽  
Transmission Control ◽  
Simulation Experiments ◽  
Finite State

In order to validate the performance of the AMT (Automated Mechanical Transmission) control system by simulation experiment, a simulation model that can express the dynamic characteristic of the automotive power system during every phase of the vehicle driving process based on the finite state machine was proposed. Then a hard-in-loop half-real simulation system was established taking the simulation model as kernel. It was shown by the results of simulation experiments that the model could simulate the automotive power system effectively and could be used to evaluate the AMT control system.

Research on Hydraulic Control System of Straightening Machine with Nine Rolls for Plates Based on BP Neural Network PID Controller

2013 ◽  
Vol 820 ◽  
pp. 117-121 ◽  
Author(s):  
Song Li ◽  
Jin Chun Song ◽  
Guan Gan Ren ◽  
Yan Cai
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Mechanical Transmission ◽  
Hydraulic Control ◽  
Control Precision ◽  
Transmission Equipment ◽  
High Control ◽  
Neural Network Pid

A mechanical transmission equipment of traditional straightening machine for plates are driven by worm gear and worm, which causes small straightening force, slow pressing speed and low control precision. However, screwdown control system of straightening machine can be driven by hydraulic system, which will lead to large straightening force, rapid pressing speed and high control precision. This system was designed for straightening machine with nine rolls for plates, its transfer function was deduced, and the analysis on its stability and time response was conducted. A BP neural network PID controller was utilized in the system for improving dynamic characteristics. It can be concluded that the system responds rapidly, and stability and control precision are high if BP neural network PID controller is used in the system.

Motor Control in Soft-Bodied Animals

2017 ◽  
pp. 494-510 ◽  
Author(s):  
Guy Levy ◽  
Nir Nesher ◽  
Letizia Zullo ◽  
Binyamin Hochner
Keyword(s):  
Nervous System ◽  
Motor Control ◽  
Control System ◽  
Degrees Of Freedom ◽  
Control Strategies ◽  
Highly Active ◽  
Actuation System ◽  
Controlling System ◽  
Motor Control System ◽  
Free Parameters

Motor Control is essentially the computations required for producing coordinated sequences of commands from the controlling system (i.e., nervous system) to the actuation system (i.e., muscles) to generate efficient motion. The level of motor control complexity depends on the number of free parameters (degrees of freedom) that have to be coordinated. This number is much smaller in skeletal animals because they have a rather limited number of joints. In soft bodied animals, like the octopus, this number is virtually infinite. Here we show that the efficient motor control system of the octopus uses solutions that are very different from those of articulated animals, and it involves embodied co-evolution of the unique morphology together with the organization of the nervous and muscular systems to enable control strategies that are best suited for a highly active soft-bodied animal like the octopus.

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