This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater ve...This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion decoupling.At the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC controller.Finally, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified.展开更多
In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(M...In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIMO)systems such as multi-variables,disturbances,and coupling,etc.Firstly,the structure and parameter tuning method of SADRC is introduced into this paper.Followed on this,virtual control variables are adopted into the MIMO systems,making the systems decoupled.Then the SADRC controller is designed for every subsystem.After this,a stability analyzed method via the Lyapunov function is proposed for the whole system.Finally,some simulations are presented to demonstrate the anti-disturbance and robustness of SADRC,and results show SADRC has a potential applications in engineering practice.展开更多
This paper mainly focuses on stability analysis of the nonlinear active disturbance rejection control(ADRC)-based control system and its applicability to real world engineering problems.Firstly,the nonlinear ADRC(NLAD...This paper mainly focuses on stability analysis of the nonlinear active disturbance rejection control(ADRC)-based control system and its applicability to real world engineering problems.Firstly,the nonlinear ADRC(NLADRC)-based control system is transformed into a multi-input multi-output(MIMO)Lurie-like system,then sufficient condition for absolute stability based on linear matrix inequality(LMI)is proposed.Since the absolute stability is a kind of global stability,Lyapunov stability is further considered.The local asymptotical stability can be deter-mined by whether a matrix is Hurwitz or not.Using the inverted pendulum as an example,the proposed methods are verified by simulation and experiment,which show the valuable guidance for engineers to design and analyze the NL ADRC-based control system.展开更多
双机串轴运行中,负载转矩突变以及外部风浪干扰等都会影响串轴电机的转矩均衡性能,这对控制系统的灵活性和抗扰性提出较高要求。为此,在建立多相电机串轴系统数学模型的基础上,提出了基于主从结构的分绕组式多相电机矢量控制策略,并在...双机串轴运行中,负载转矩突变以及外部风浪干扰等都会影响串轴电机的转矩均衡性能,这对控制系统的灵活性和抗扰性提出较高要求。为此,在建立多相电机串轴系统数学模型的基础上,提出了基于主从结构的分绕组式多相电机矢量控制策略,并在转速环采用线性自抗扰控制(linear active disturbance rejection control,LADRC)。仿真和实验结果表明:当推进系统工况切换时,基于主从结构的分绕组控制实现了双机负载功率的自动再分配。同时,LADRC能对速度跟踪进行优化,提高了刚性连接串轴系统的转矩均衡性能和抗干扰性能。展开更多
针对复杂环境下,四旋翼无人机航迹跟踪精度易受风扰的影响,设计了串级线性自抗扰控制(linear active disturbance rejection control,LADRC)双回路控制系统。外环为位置回路,针对风扰采用3阶LADRC设计;内环为姿态回路,针对执行机构的动...针对复杂环境下,四旋翼无人机航迹跟踪精度易受风扰的影响,设计了串级线性自抗扰控制(linear active disturbance rejection control,LADRC)双回路控制系统。外环为位置回路,针对风扰采用3阶LADRC设计;内环为姿态回路,针对执行机构的动态特性,采用4阶LADRC设计。仿真对比串级LADRC和串级PID两种控制方法,结果表明,两种方法虽然都实现了四旋翼无人机航迹跟踪控制,但是在各种复杂风场扰动、内扰作用的情况下,串级LADRC能够克服复杂扰动的影响,精度更高、抗扰性更好、鲁棒性更强,且待整定参数不多,十分符合工程实际的需求。展开更多
基金supported by the National Natural Science Foundation of China (6197317561973172)Tianjin Natural Science Foundation (19JCZDJC32800)。
文摘This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion decoupling.At the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC controller.Finally, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified.
基金supported by the Scientific Research Innovation Development Foundation of Army Engineering University((2019)71).
文摘In this paper,a linear/nonlinear switching active disturbance rejection control(SADRC)based decoupling control approach is proposed to deal with some difficult control problems in a class of multi-input multi-output(MIMO)systems such as multi-variables,disturbances,and coupling,etc.Firstly,the structure and parameter tuning method of SADRC is introduced into this paper.Followed on this,virtual control variables are adopted into the MIMO systems,making the systems decoupled.Then the SADRC controller is designed for every subsystem.After this,a stability analyzed method via the Lyapunov function is proposed for the whole system.Finally,some simulations are presented to demonstrate the anti-disturbance and robustness of SADRC,and results show SADRC has a potential applications in engineering practice.
基金supported by the National Natural Science Foundation of China(61836001).
文摘This paper mainly focuses on stability analysis of the nonlinear active disturbance rejection control(ADRC)-based control system and its applicability to real world engineering problems.Firstly,the nonlinear ADRC(NLADRC)-based control system is transformed into a multi-input multi-output(MIMO)Lurie-like system,then sufficient condition for absolute stability based on linear matrix inequality(LMI)is proposed.Since the absolute stability is a kind of global stability,Lyapunov stability is further considered.The local asymptotical stability can be deter-mined by whether a matrix is Hurwitz or not.Using the inverted pendulum as an example,the proposed methods are verified by simulation and experiment,which show the valuable guidance for engineers to design and analyze the NL ADRC-based control system.
文摘双机串轴运行中,负载转矩突变以及外部风浪干扰等都会影响串轴电机的转矩均衡性能,这对控制系统的灵活性和抗扰性提出较高要求。为此,在建立多相电机串轴系统数学模型的基础上,提出了基于主从结构的分绕组式多相电机矢量控制策略,并在转速环采用线性自抗扰控制(linear active disturbance rejection control,LADRC)。仿真和实验结果表明:当推进系统工况切换时,基于主从结构的分绕组控制实现了双机负载功率的自动再分配。同时,LADRC能对速度跟踪进行优化,提高了刚性连接串轴系统的转矩均衡性能和抗干扰性能。
文摘针对复杂环境下,四旋翼无人机航迹跟踪精度易受风扰的影响,设计了串级线性自抗扰控制(linear active disturbance rejection control,LADRC)双回路控制系统。外环为位置回路,针对风扰采用3阶LADRC设计;内环为姿态回路,针对执行机构的动态特性,采用4阶LADRC设计。仿真对比串级LADRC和串级PID两种控制方法,结果表明,两种方法虽然都实现了四旋翼无人机航迹跟踪控制,但是在各种复杂风场扰动、内扰作用的情况下,串级LADRC能够克服复杂扰动的影响,精度更高、抗扰性更好、鲁棒性更强,且待整定参数不多,十分符合工程实际的需求。
