This paper designs a novel controller to improve the path-tracking performance of articulated dump truck(ADT). By combining linear quadratic regulator(LQR) with genetic algorithm(GA), the designed controller is used t...This paper designs a novel controller to improve the path-tracking performance of articulated dump truck(ADT). By combining linear quadratic regulator(LQR) with genetic algorithm(GA), the designed controller is used to control linear and angular velocities on the midpoint of the front frame. The novel controller based on the error dynamics model is eventually realized to track the path high-precisely with constant speed. The results of simulation and experiment show that the LQR-GA controller has a better tracking performance than the existing methods under a low speed of 3 m/s. In this paper, kinematics model and simulation control models based on co-simulation of ADAMS and Matlab/Simulink are established to verify the proposed strategy. In addition, a real vehicle experiment is designed to further more correctness of the conclusion. With the proposed controller and considering the steering model in the simulation, the control performance is improved and matches the actual situation better. The research results contribute to the development of automation of ADT.展开更多
比例积分微分(proportional⁃integral⁃derivative,PID)控制算法被广泛用于茶园拖拉机的转角控制系统,但是PID控制器带来大量的参数整定以及滞后性,必然会降低控制精度和控制效率.为了解决这一问题,提出了基于灰狼优化算法(grey wolf opt...比例积分微分(proportional⁃integral⁃derivative,PID)控制算法被广泛用于茶园拖拉机的转角控制系统,但是PID控制器带来大量的参数整定以及滞后性,必然会降低控制精度和控制效率.为了解决这一问题,提出了基于灰狼优化算法(grey wolf optimization algorithm,GWOA)的茶园拖拉机转角控制器.首先,建立了简化的茶园拖拉机电动助力转向(electric power steering,EPS)系统的数学模型;其次,采用了基于PID的电动机电流-转向盘转角双闭环的控制策略;接着,设计了灰狼优化算法来对传统PID控制器的参数进行优化,构建了基于灰狼优化算法的PID转角控制器(GWOA⁃PID);最终,利用CARSIM和MATLAB实时模拟拖拉机运行情况,对提出的基于灰狼优化算法的茶园拖拉机转角控制器进行验证,结果表明:传统PID控制器的电流总谐波畸变(total har⁃monic distortion,THD)为11.46%,基于粒子群算法(particle swarm optimization,PSO)的PID控制器的THD为8.12%,所提出的GWOA⁃PID控制器的THD为6.28%,使得电流谐波在原来的基础上降低了45.2%.展开更多
船舶航向操舵控制是个典型的非线性系统,而工程上经常使用的常规PID(Proportional Integral Differential)控制器则为线性控制,至于模糊控制虽为非线性控制,但稳态精度不高。将常规PID控制与模糊控制相结合,基于Norrbin非线性系统模型...船舶航向操舵控制是个典型的非线性系统,而工程上经常使用的常规PID(Proportional Integral Differential)控制器则为线性控制,至于模糊控制虽为非线性控制,但稳态精度不高。将常规PID控制与模糊控制相结合,基于Norrbin非线性系统模型和模糊自整定PID控制器的设计步骤,提出一种新的船舶航向控制算法,即船舶航向模糊自整定操舵控制器,并针对5 446标准箱的集装箱船舶,用Matlab进行了仿真计算。仿真结果表明,该控制算法可以使船舶航向控制从动态和稳态上都具有较好的精度,跟踪响应迅速,超调量小。展开更多
基金the Fundamental Research Funds for the Central Universities of China(No.FRF-TP-15-023A1)the National Key R&D Program Project(Nos.2016YFC0802905 and 2018YFC0604403)
文摘This paper designs a novel controller to improve the path-tracking performance of articulated dump truck(ADT). By combining linear quadratic regulator(LQR) with genetic algorithm(GA), the designed controller is used to control linear and angular velocities on the midpoint of the front frame. The novel controller based on the error dynamics model is eventually realized to track the path high-precisely with constant speed. The results of simulation and experiment show that the LQR-GA controller has a better tracking performance than the existing methods under a low speed of 3 m/s. In this paper, kinematics model and simulation control models based on co-simulation of ADAMS and Matlab/Simulink are established to verify the proposed strategy. In addition, a real vehicle experiment is designed to further more correctness of the conclusion. With the proposed controller and considering the steering model in the simulation, the control performance is improved and matches the actual situation better. The research results contribute to the development of automation of ADT.
文摘比例积分微分(proportional⁃integral⁃derivative,PID)控制算法被广泛用于茶园拖拉机的转角控制系统,但是PID控制器带来大量的参数整定以及滞后性,必然会降低控制精度和控制效率.为了解决这一问题,提出了基于灰狼优化算法(grey wolf optimization algorithm,GWOA)的茶园拖拉机转角控制器.首先,建立了简化的茶园拖拉机电动助力转向(electric power steering,EPS)系统的数学模型;其次,采用了基于PID的电动机电流-转向盘转角双闭环的控制策略;接着,设计了灰狼优化算法来对传统PID控制器的参数进行优化,构建了基于灰狼优化算法的PID转角控制器(GWOA⁃PID);最终,利用CARSIM和MATLAB实时模拟拖拉机运行情况,对提出的基于灰狼优化算法的茶园拖拉机转角控制器进行验证,结果表明:传统PID控制器的电流总谐波畸变(total har⁃monic distortion,THD)为11.46%,基于粒子群算法(particle swarm optimization,PSO)的PID控制器的THD为8.12%,所提出的GWOA⁃PID控制器的THD为6.28%,使得电流谐波在原来的基础上降低了45.2%.
文摘船舶航向操舵控制是个典型的非线性系统,而工程上经常使用的常规PID(Proportional Integral Differential)控制器则为线性控制,至于模糊控制虽为非线性控制,但稳态精度不高。将常规PID控制与模糊控制相结合,基于Norrbin非线性系统模型和模糊自整定PID控制器的设计步骤,提出一种新的船舶航向控制算法,即船舶航向模糊自整定操舵控制器,并针对5 446标准箱的集装箱船舶,用Matlab进行了仿真计算。仿真结果表明,该控制算法可以使船舶航向控制从动态和稳态上都具有较好的精度,跟踪响应迅速,超调量小。
