A valid preview control technique is presented for processing servo systemswith input delay based on extended error systems with input delay. The technique usesthe concept of error systems, establishes extended error ...A valid preview control technique is presented for processing servo systemswith input delay based on extended error systems with input delay. The technique usesthe concept of error systems, establishes extended error systems with input delay and de-rives preview control laws based on minimization of evaluation function. Finally, simula-tion is done on linear direct current motor without brush. The results reveal that the tech-nique proposed herein is valid for improving performance of servo systems.展开更多
Usually, only siep future desired singals are utilized in the field of preview servo systems design. In this paper, we discuss the design problem of optimal preview servo system while the future desired signal and fut...Usually, only siep future desired singals are utilized in the field of preview servo systems design. In this paper, we discuss the design problem of optimal preview servo system while the future desired signal and future disturbance signal are polynomials or outputs of linear free systems. (1) Conditions of controllability and observability for enlarged system, (2) a design method of optimal preview servo controllers, and (3) a simple and convenient algorithm of control law are obtained.展开更多
In this paper,we present a design method for a kind of general frequency dependent digital optimal preview servo svstem which is effective to improve frequency characteristics of closed looP system.By the method,for ...In this paper,we present a design method for a kind of general frequency dependent digital optimal preview servo svstem which is effective to improve frequency characteristics of closed looP system.By the method,for any rational expression frequency dependent weight which loads on error vector,we can design an optimal preview servo system.The result is applied to an air slide linear motor in simulation and its effectivity is proved.展开更多
Using the future desired input value, zero phase error controller enables the overall system＇s frequency response exhibit zero phase shift for all frequencies and a small gain error at low frequency range, and based ...Using the future desired input value, zero phase error controller enables the overall system＇s frequency response exhibit zero phase shift for all frequencies and a small gain error at low frequency range, and based on this, a new algorithm is presented to design the feedforward controller. However, zero phase error controller is only suitable for certain linear system. To reduce the tracking error and improve robustness, the design of the proposed feedforward controller uses a neural compensation based on diagonal recurrent neural network. Simulation and real-time control results for flight simulator servo system show the effectiveness of the proposed approach.展开更多
Pneumatic proportional control servo regulator is the core component of a pneumatic-loading experimental system,which is very important in solving the overcharging problem.However,previous research on control of pneum...Pneumatic proportional control servo regulator is the core component of a pneumatic-loading experimental system,which is very important in solving the overcharging problem.However,previous research on control of pneumatic proportional regulator in a pneumatic-loading experimental system led to failure in analysis of the influence of opening error of the switch regulator because it did not analyze the regulator basic working principle and process.The traditional control method cannot fully solve the overcharging problem nor ensure adequate control performance of the regulator.After seriously studying the working principle and key mechanical parameters of the valve,a fuzzy parameter-adaptive controller is designed by introducing a linear mixture of the pressure and opening errors of the switch regulator to reduce pressure overshoot and optimize its control performance.According to the fuzzy-control strategy based on the working characteristics and mechanical parameters of the valve,the overshoot phenomenon of the pneumatic-loading system is solved,and the pressure overshoot is eliminated.The error of the output air pressure of the regulator is 1.24%,which is small.The adjustable pressure range of the regulator is 0.2–0.6 MPa.The maximum deviation is 0.012 MPa.The linearity of the case is 1.34%F.S.展开更多
文摘A valid preview control technique is presented for processing servo systemswith input delay based on extended error systems with input delay. The technique usesthe concept of error systems, establishes extended error systems with input delay and de-rives preview control laws based on minimization of evaluation function. Finally, simula-tion is done on linear direct current motor without brush. The results reveal that the tech-nique proposed herein is valid for improving performance of servo systems.
文摘Usually, only siep future desired singals are utilized in the field of preview servo systems design. In this paper, we discuss the design problem of optimal preview servo system while the future desired signal and future disturbance signal are polynomials or outputs of linear free systems. (1) Conditions of controllability and observability for enlarged system, (2) a design method of optimal preview servo controllers, and (3) a simple and convenient algorithm of control law are obtained.
文摘In this paper,we present a design method for a kind of general frequency dependent digital optimal preview servo svstem which is effective to improve frequency characteristics of closed looP system.By the method,for any rational expression frequency dependent weight which loads on error vector,we can design an optimal preview servo system.The result is applied to an air slide linear motor in simulation and its effectivity is proved.
基金The project was supported by Aeronautics Foundation of China (00E51022).
文摘Using the future desired input value, zero phase error controller enables the overall system＇s frequency response exhibit zero phase shift for all frequencies and a small gain error at low frequency range, and based on this, a new algorithm is presented to design the feedforward controller. However, zero phase error controller is only suitable for certain linear system. To reduce the tracking error and improve robustness, the design of the proposed feedforward controller uses a neural compensation based on diagonal recurrent neural network. Simulation and real-time control results for flight simulator servo system show the effectiveness of the proposed approach.
基金supported by the China Postdoctoral Science Foundation(Grant No. 2019M660392)the Open Research Project of the State Key Laboratory of Media Convergence and Communication, Communication University of China (Grant No. SKLMCC2020KF002)the National Key Research and Development Project (Grant Nos. 2019YFC0121700,2021YFC0122502)
文摘Pneumatic proportional control servo regulator is the core component of a pneumatic-loading experimental system,which is very important in solving the overcharging problem.However,previous research on control of pneumatic proportional regulator in a pneumatic-loading experimental system led to failure in analysis of the influence of opening error of the switch regulator because it did not analyze the regulator basic working principle and process.The traditional control method cannot fully solve the overcharging problem nor ensure adequate control performance of the regulator.After seriously studying the working principle and key mechanical parameters of the valve,a fuzzy parameter-adaptive controller is designed by introducing a linear mixture of the pressure and opening errors of the switch regulator to reduce pressure overshoot and optimize its control performance.According to the fuzzy-control strategy based on the working characteristics and mechanical parameters of the valve,the overshoot phenomenon of the pneumatic-loading system is solved,and the pressure overshoot is eliminated.The error of the output air pressure of the regulator is 1.24%,which is small.The adjustable pressure range of the regulator is 0.2–0.6 MPa.The maximum deviation is 0.012 MPa.The linearity of the case is 1.34%F.S.
