PID control method with variable tuning parameters in the digitized engine test systems is presented.
开发了一种用于数字化发动机试验控制系统中调谐系数可调的PID控制方法。
Comparison of conventional PID control, variable time-varying parameters of PID controller has better control effect for a large time-delay.
对比常规pid控制，变参数PID控制器对时变大时滞对象有较好的控制效果。
Firstly, it is the variable parameter PID which is able to adjust PID parameters online to improve the control performance through non-linear function according to the bias;
第一种，引入非线性函数根据偏差大小在线调节PID参数来提高控制性能的变参数PID；
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
With the same structure of the PID control system and the state variable feedback system, a new solution to tuning PID control parameters by pole placement is presented.
利用所提出的PID控制系统与状态反馈控制系统具有相同结构的特点，提出了利用状态反馈极点配置方法来整定PID参数的思路。
The performance of NCS using PID control decreases for PID controller doesn't have self-adaptive ability to adjust control parameters with variable time-delay and system parameters.
PID控制器在各种工业过程控制中显示出很多优点，但其无自适应能力，当网络时延和系统参数发生变化时不能调整控制参数，使系统性能下降。
The performance of NCS using PID control decreases for PID controller doesn't have self-adaptive ability to adjust control parameters with variable time-delay and system parameters.
PID控制器在各种工业过程控制中显示出很多优点，但其无自适应能力，当网络时延和系统参数发生变化时不能调整控制参数，使系统性能下降。
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