Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturba...Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturbance suppression and have poor performance in suppressing complex nonlinear disturbances.In order to address these issues,this paper proposes an improved two-degree-of-freedom LADRC(TDOF-LADRC)strategy,which can enhance the disturbance rejection performance of the system while decoupling entirely the system's dynamic and anti-disturbance performance to boost the system robustness and simplify controller parameter tuning.PMSM models that consider total disturbances are developed to design the TDOF-LADRC speed controller accurately.Moreover,to evaluate the control performance of the TDOF-LADRC strategy,its stability is proven,and the influence of each controller parameter on the system control performance is analyzed.Based on it,a comparison is made between the disturbance observation ability and anti-disturbance performance of TDOF-LADRC and CLADRC to prove the superiority of TDOF-LADRC in rejecting disturbances.Finally,experiments are performed on a 750 W PMSM experimental platform,and the results demonstrate that the proposed TDOF-LADRC exhibits the properties of two degrees of freedom and improves the disturbance rejection performance of the PMSM system.展开更多
文章通过优化ADRC算法的参数设置,实现了电机的高效稳定控制,显著提升了制氧装置的氧气生成效率和系统稳定性。在系统集成过程中,通过精密传感器实时监测电机状态,结合ADRC算法动态补偿外部扰动,保证了系统在不同负载和环境条件下的稳...文章通过优化ADRC算法的参数设置,实现了电机的高效稳定控制,显著提升了制氧装置的氧气生成效率和系统稳定性。在系统集成过程中,通过精密传感器实时监测电机状态,结合ADRC算法动态补偿外部扰动,保证了系统在不同负载和环境条件下的稳定运行。经过全面的功能测试和性能验证,结果表明,采用ADRC算法的便携制氧装置在响应速度、抗干扰能力和能效方面均表现优异,满足了实际应用需求。This article achieves efficient and stable control of the motor by optimizing the parameter settings of the ADRC algorithm, significantly improving the oxygen generation efficiency and system stability of the oxygen production device. During the system integration process, the motor status is monitored in real-time through precision sensors, and external disturbances are dynamically compensated using the ADRC algorithm to ensure stable operation of the system under different loads and environmental conditions. After comprehensive functional testing and performance verification, the results show that the portable oxygen generation device using ADRC algorithm performs excellently in response speed, anti-interference ability, and energy efficiency, meeting practical application requirements.展开更多
High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll precision coating machine.However,the complex relationships in tension system make the probl...High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll precision coating machine.However,the complex relationships in tension system make the problems of decoupling control difficult to be solved,which has limited the improvement of tension control accuracy for the coating machine.Therefore,an ADRC parameters self-tuning decoupling strategy based on RBF neural network is proposed to improve the control accuracy of tension system in this paper.Firstly,a global coupling nonlinear model of the tension system is established according to the composition of the coating machine,and the global coupling model is linearized based on the first-order Taylor formula.Secondly,according to the linear model of the tension system,a parameters self-tuning decoupling algorithm of the tension system is proposed by integrating feedforward control,ADRC and RBF.Finally,the simulation results show that the proposed tension control strategy has good decoupling control performance and effectively improves the tension control accuracy for the coating machine.展开更多
文摘Permanent magnet synchronous motor(PMSM)speed control systems with conventional linear active disturbance rejection control(CLADRC)strategy encounter issues regarding the coupling between dynamic response and disturbance suppression and have poor performance in suppressing complex nonlinear disturbances.In order to address these issues,this paper proposes an improved two-degree-of-freedom LADRC(TDOF-LADRC)strategy,which can enhance the disturbance rejection performance of the system while decoupling entirely the system's dynamic and anti-disturbance performance to boost the system robustness and simplify controller parameter tuning.PMSM models that consider total disturbances are developed to design the TDOF-LADRC speed controller accurately.Moreover,to evaluate the control performance of the TDOF-LADRC strategy,its stability is proven,and the influence of each controller parameter on the system control performance is analyzed.Based on it,a comparison is made between the disturbance observation ability and anti-disturbance performance of TDOF-LADRC and CLADRC to prove the superiority of TDOF-LADRC in rejecting disturbances.Finally,experiments are performed on a 750 W PMSM experimental platform,and the results demonstrate that the proposed TDOF-LADRC exhibits the properties of two degrees of freedom and improves the disturbance rejection performance of the PMSM system.
文摘文章通过优化ADRC算法的参数设置,实现了电机的高效稳定控制,显著提升了制氧装置的氧气生成效率和系统稳定性。在系统集成过程中,通过精密传感器实时监测电机状态,结合ADRC算法动态补偿外部扰动,保证了系统在不同负载和环境条件下的稳定运行。经过全面的功能测试和性能验证,结果表明,采用ADRC算法的便携制氧装置在响应速度、抗干扰能力和能效方面均表现优异,满足了实际应用需求。This article achieves efficient and stable control of the motor by optimizing the parameter settings of the ADRC algorithm, significantly improving the oxygen generation efficiency and system stability of the oxygen production device. During the system integration process, the motor status is monitored in real-time through precision sensors, and external disturbances are dynamically compensated using the ADRC algorithm to ensure stable operation of the system under different loads and environmental conditions. After comprehensive functional testing and performance verification, the results show that the portable oxygen generation device using ADRC algorithm performs excellently in response speed, anti-interference ability, and energy efficiency, meeting practical application requirements.
基金supported by the National Key Research and Development Program of China(Grant No.2019YFB1707200)the Key Research and Development Program of Shaanxi Province(Grant No.2020ZDLGY14-06)the Technology Innovation Leading Program of Shaanxi Province(Grant No.2020QFY03-03).
文摘High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll precision coating machine.However,the complex relationships in tension system make the problems of decoupling control difficult to be solved,which has limited the improvement of tension control accuracy for the coating machine.Therefore,an ADRC parameters self-tuning decoupling strategy based on RBF neural network is proposed to improve the control accuracy of tension system in this paper.Firstly,a global coupling nonlinear model of the tension system is established according to the composition of the coating machine,and the global coupling model is linearized based on the first-order Taylor formula.Secondly,according to the linear model of the tension system,a parameters self-tuning decoupling algorithm of the tension system is proposed by integrating feedforward control,ADRC and RBF.Finally,the simulation results show that the proposed tension control strategy has good decoupling control performance and effectively improves the tension control accuracy for the coating machine.
