基于CR-GWO-PID控制的四轮驱动电动汽车的车轮内电机控制系统
Xiaoguang Xu1,2, Miao Wang1, Ping Xiao3
1School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究介绍了一种基于混沌随机灰狼优化的PID (CR-GWO-PID) 算法,用于精确控制四轮驱动电动汽车的速度. 改进的算法显著提高了车轮内电机控制性能,提高了响应速度和准确性.
科学领域:
- * 控制系统工程 * 控制系统工程
- * 汽车应用中的人工智能
- * 机器人和自动化技术
背景情况:
- *精确的速度控制对于提高四轮驱动电动汽车的驾驶性能和稳定性至关重要.
- * 传统的控制算法在优化车轮内电机系统的动态响应和准确性方面经常面临挑战.
- *灰狼优化 (GWO) 算法为优化问题提供了强大的框架,但对于复杂的汽车控制应用程序需要改进.
研究的目的:
- *为电动汽车的车轮内电机开发一个先进的比例积分导数 (PID) 控制算法.
- *为了提高灰狼优化算法的全球优化能力,融合速度和准确性,以提高控制性能.
- *通过模拟和实验测试验证拟议的混沌随机灰狼优化-PID (CR-GWO-PID) 算法的有效性.
主要方法:
- *基于其结构原则,为四轮驱动电动汽车开发数学和模拟模型.
- * 增强传统的灰狼优化算法,采用使用肯特混乱图和正弦/正弦因子的新型人口初始化策略.
- *实施基于正弦的非线性下降重量因子和随机比例运动策略来改进GWO算法,从而实现CR-GWO-PID控制算法.
主要成果:
- *与传统的GWO相比,增强的GWO算法显示出卓越的全球优化能力,更快的融合速度和更高的准确性.
- *为车轮内电机控制器设计和实施了软件和硬件.
- *模拟和实验室测试结果证实,CR-GWO-PID控制系统的响应速度和控制精度大大提高.
结论:
- * 拟议的CR-GWO-PID控制算法有效地提高了电动汽车内轮电机的控制性能.
- *开发的控制系统提供了更好的响应速度和精度,有助于提高驾驶性能.
- * 该研究验证了CR-GWO-PID算法的实际应用性和有效性,用于现实汽车控制场景.
相关概念视频
PID Controller
123
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
123
PD Controller: Design
256
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
256
Time-Domain Interpretation of PD Control
135
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
135
Motor Units
58.3K
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
58.3K
PI Controller: Design
313
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
313
Open and closed-loop control systems
769
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
769


