In view of the problem that the fixed-parameter controller can not fulfil the requirements of control-ling systems that have a usually changing characterstic. this article gives the control algorithm and simulationpro...In view of the problem that the fixed-parameter controller can not fulfil the requirements of control-ling systems that have a usually changing characterstic. this article gives the control algorithm and simulationprogram of an expert self-adaptive PID (proportional integral differential) controller. The algorithm is based ona series of methods such as critical proportion band method, response curved line method, pattern recognition ap-proach and separable integral control algorithm. Formulas and the concrete tuning rule of the pattern recognitionapproach are give. The result shows that under changing loop parameters the controlling effect of this controlleris evidently much better than that of a fixed parameter controller展开更多
This study proposes a hybrid controller by combining a proportional-integral-derivative （PID） control and a model reference adaptive control （MRAC）, which named as PID ＋ MRAC controller. The convergence performan...This study proposes a hybrid controller by combining a proportional-integral-derivative （PID） control and a model reference adaptive control （MRAC）, which named as PID ＋ MRAC controller. The convergence performances of the PID control, MRAC, and hybrid PID ＋ MRAC are also compared. Through the simulation in Matlab, the results show that the convergence speed and performance of the MRAC and the PID ＋MRAC controller are better than those of the PID controller. In addition, the convergence performance of the hybrid control is better than that of the MRAC control.展开更多
目的:设计高压氧舱自动控制系统,提高高压氧舱自动控制的稳定性。方法:该系统采用内环PID(proportional integral differential)、外环辅以专家库及自适应算法设计。其中硬件包含工作站、端口模块、传感器、执行器等,采用Delphi7编写采...目的:设计高压氧舱自动控制系统,提高高压氧舱自动控制的稳定性。方法:该系统采用内环PID(proportional integral differential)、外环辅以专家库及自适应算法设计。其中硬件包含工作站、端口模块、传感器、执行器等,采用Delphi7编写采样、输出、控制等代码。结果:该系统能够通过专家库及自适应算法动态调整PID参数,使高压氧舱自动控制曲线逐渐趋向于理论曲线,提高了自动控制的智能性。结论:该系统具有稳定性高、自适应强、抗突发故障等特点,能够满足不同氧舱在不同治疗方案下的自动控制要求。展开更多
文摘In view of the problem that the fixed-parameter controller can not fulfil the requirements of control-ling systems that have a usually changing characterstic. this article gives the control algorithm and simulationprogram of an expert self-adaptive PID (proportional integral differential) controller. The algorithm is based ona series of methods such as critical proportion band method, response curved line method, pattern recognition ap-proach and separable integral control algorithm. Formulas and the concrete tuning rule of the pattern recognitionapproach are give. The result shows that under changing loop parameters the controlling effect of this controlleris evidently much better than that of a fixed parameter controller
文摘This study proposes a hybrid controller by combining a proportional-integral-derivative （PID） control and a model reference adaptive control （MRAC）, which named as PID ＋ MRAC controller. The convergence performances of the PID control, MRAC, and hybrid PID ＋ MRAC are also compared. Through the simulation in Matlab, the results show that the convergence speed and performance of the MRAC and the PID ＋MRAC controller are better than those of the PID controller. In addition, the convergence performance of the hybrid control is better than that of the MRAC control.
文摘目的:设计高压氧舱自动控制系统,提高高压氧舱自动控制的稳定性。方法:该系统采用内环PID(proportional integral differential)、外环辅以专家库及自适应算法设计。其中硬件包含工作站、端口模块、传感器、执行器等,采用Delphi7编写采样、输出、控制等代码。结果:该系统能够通过专家库及自适应算法动态调整PID参数,使高压氧舱自动控制曲线逐渐趋向于理论曲线,提高了自动控制的智能性。结论:该系统具有稳定性高、自适应强、抗突发故障等特点,能够满足不同氧舱在不同治疗方案下的自动控制要求。
