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PI Controller Based BP Network 基于 BP 网络的 PI 控制器的研究
Firstly, using traditional method, a PI controller based on motor system linearization model is designed.Then, using fuzzy logic to compensate the friction interference. 这种方案是先采用传统方法基于对象简化线性模型设计PI控制器，然后利用模糊逻辑对摩擦干扰进行补偿。
Design of feedback controller based on BP network 基于BP网络的反馈控制器设计
Simulation of the Illumination Control Based on BP Network 基于BP网络的照明控制仿真
A collateral controller based on BP neural network(NN) and PID was designed for fatigue tester system. 针对疲劳试验机控制系统,设计了基于BP神经网络和PID的并行控制器。
This paper presents a neural network control system based on CMAC,which consists of a CMAC neural network controller and a BP network model identifier. 提出了一种基于CMAC神经网络控制系统,该系统由CMAC神经网络控制器和BP模型辨识网络组成。
A novel control method based on BP network controller is presented for the nonlinearities in active vibration isolation system. 针对主动隔振系统存在的非线性,提出一种基于BP网络控制器的主动控制方法。
Due to the large torque ripple of direct torque control in low speed range, a torque angle adjustor based on fuzzy neural network and PI control was adopted to improve the control effect. 针对直接转矩控制低速时转矩脉动大的问题，采用基于模糊网络与PI控制结合的转矩角调节器来改进控制效果。
Integrating fuzzy neural network and PI controller,we ob-tained a fuzzy neural decoupled hybrid controller. 本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
The controller of the DC motor speed adjusting system is developed,which is based on ITAE optimum control theory com-bined with PI control. 提出了一种用于直流电机调速系统的控制器设计方法,该方法主要基于ITAE最优控制理论,并结合PI控制。
Abstract: The controller of the DC motor speed adjusting system is developed, which is based on ITAE optimum control theory combined with PI control. 摘要：提出了一种用于直流电机调速系统的控制器设计方法，该方法主要基于ITAE最优控制理论，并结合PI控制。
Research on main parameters modification of Duncan-Chang model based on the improved BP network. 基于改进的BP网络对邓肯张模型主要参数修正研究。
The experiment proves that it is superior to the classical PI controller. 试验证明比传统的PI控制器优越。
The results show that this PI controller is effective in LSRM speed control. 仿真结果表明该方法可以很好的用在控制中。
Introduce based on BP network arm shelf structure and inherent characteristic construction of analysor. 第5章介绍了基于BP网络的臂架结构和固有特性分析器的构建。
In this paper, errors existing in the BP network based olfactory system are researched. 本文分析了基于传统BP网络构成的智能嗅敏系统所存在的误差与形成原因。
This paper replace the PI control in the DTC system by HSIC, at the same time construct the simulate model based on matlab language. 运用HSIC(仿人智能控制)控制替代了传统直接转矩控制中常使用的PI控制环节,并且构建了基于MATLAB的电机控制仿真模型。
A torque fuzzy logic controller was designed to substitute the original torque PI controller, and a fuzzy SVM-DTC system based on the fuzzy controller was given. 设计了转矩模糊控制器代替原有的转矩PI控制器,并给出了基于此模糊控制器的SVM-DTC系统。
A BP network model based on the dam pr ototype observation data has been established. A BP algorithm is presented to forecast the dam disp lacement. 根据大坝的原型观测资料建立了BP网络模型;并采用BP算法对大坝位移进行了分析.
The math model of LSRM, dynamic characteristics, PI controller, sensorless control algorithm and digital motor control platform based on TMS320VC33 are discussed in this paper. 以非线性电感模型为基础,进一步推导,得到基于小信号模型的PI控制器设计方法。