Impact of IHX Sizing on Automotive Climate Control Performance Optimization

2021 ◽  
Author(s):  
Abhishek raj ◽  
Himanshu Bajpai ◽  
Rajeev Anal ◽  
Arun kumar Goel
Keyword(s):  
Performance Optimization ◽  
Control Performance ◽  
Climate Control

scholarly journals Control Performance Optimization of Variable Cycle Aero-engine Based on MTLBO

2020 ◽  
Vol 1487 ◽  
pp. 012047
Author(s):  
Yifan Qian ◽  
Zhifeng Ye ◽  
Yongyuan Xu ◽  
Haibo Zhang
Keyword(s):  
Performance Optimization ◽  
Control Performance ◽  
Aero Engine

Optimal analysis and application of the warp tension control system for a rapier loom

2021 ◽  
pp. 004051752110536
Author(s):  
Yanjun Xiao ◽  
Zhenpeng Zhang ◽  
Zhenhao Liu ◽  
Weiling Liu ◽  
Nan Gao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Control ◽  
Performance Optimization ◽  
Experimental Studies ◽  
Tension Control ◽  
Control Performance ◽  
Improved Genetic Algorithm ◽  
Warp Tension ◽  
Tension Control System

Traditional proportional–integral–derivative (PID) control performance optimization is an essential method to improve a loom’s warp tension control performance. This work proposes an improved genetic algorithm optimized PID control scheme to overcome the decline in control performance of the traditional PID control algorithm in a loom’s warp tension control system. Through the decoupling analysis of loom motion mechanism, the establishment of warp tension model and the optimization of fitness evaluation mechanism of genetic algorithm can effectively overcome the problems of local optimal solution and algorithm degradation of genetic algorithm. Simulation experiments were carried out with the traditional PID, the integral separation PID, and the genetic PID in warp tension control. The results show the advantage of the genetic-PID algorithm to control warp tension stability. Ultimately, according to the functional characteristics of the loom mechanism, a tension control platform for experimental studies was established. The test results show that the maximum fluctuation range of warp tension is within [−2, +6] at the test speed of 850 rpm, which meets the requirements of long-term stable and reliable control of warp tension under different weaving conditions.

Control Performance Analysis of SR S/G System Based on FEM

2012 ◽  
Vol 246-247 ◽  
pp. 801-805
Author(s):  
Shou Jun Song ◽  
Man Zhang ◽  
Wen Jie Liu ◽  
Ze Xiu Han
Keyword(s):  
Steady State ◽  
Dynamic Simulation ◽  
Performance Optimization ◽  
Parametric Method ◽  
Strong Nonlinearity ◽  
Control Performance ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Torque Curve ◽  
Steady State Simulation

Switched reluctance machine (SRM) has many outstanding advantages, and can be widely used in many electromechanical applications. However, it’s relatively difficult to analyze the control performance of SRM due to strong nonlinearity of the electromagnetic field. In this paper, the performance of SRM is analyzed by finite element method (FEM). Firstly, the simulation model of a 4-phase 8/6 pole SRM is built, and then the steady-state and dynamic simulation are carried out. In steady-state simulation, the magnetization and torque characteristics are obtained by parametric method. In dynamic simulation, the performance, include current and torque curve, under both motoring and generating mode are given. The simulation and analysis results are useful for performance optimization of SRM.

scholarly journals Research on Real-Time Monitoring and Performance Optimization of Suspension System in Maglev Train

2021 ◽  
Vol 11 (24) ◽  
pp. 11952
Author(s):  
Xu Zhou ◽  
Tao Wen ◽  
Zhiqiang Long
Keyword(s):  
Real Time ◽  
Performance Optimization ◽  
High Performance ◽  
Suspension System ◽  
Control Performance ◽  
Real Time Monitoring ◽  
Maglev Train ◽  
Dynamic Compensator ◽  
And Performance ◽  
Residual Generator

With the success of the commercial operation of the maglev train, the demand for real-time monitoring and high-performance control of the maglev train suspension system is also increasing. Therefore, a framework for performance monitoring and performance optimization of the maglev train suspension system is proposed in this article. This framework consists of four parts: plant, feedback controller, residual generator, and dynamic compensator. Firstly, after the system model is established, the nominal controller is designed to ensure the stability of the system. Secondly, the observer-based residual generator is identified offline based on the input and output data without knowing the accurate model of the system, which avoids the interference of the unmodeled part. Thirdly, the control performance is monitored and evaluated in real time by analyzing the residual and executing the judgment logic. Fourthly, when the control performance of the system is degraded or not satisfactory, the dynamic compensator based on the residual is updated online iteratively to optimize the control performance. Finally, the proposed framework and theory are verified on the single suspension experimental platform and the results show the effectiveness.

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