The control design, based on self-adaptive PID with genetic algorithms(GA) tuning on-line was investigated, for the temperature control of industrial microwave drying rotary device with the multi-layer(IMDRDWM) and wi...The control design, based on self-adaptive PID with genetic algorithms(GA) tuning on-line was investigated, for the temperature control of industrial microwave drying rotary device with the multi-layer(IMDRDWM) and with multivariable nonlinear interaction of microwave and materials. The conventional PID control strategy incorporated with optimization GA was put forward to maintain the optimum drying temperature in order to keep the moisture content below 1%, whose adaptation ability included the cost function of optimization GA according to the output change. Simulations on five different industrial process models and practical temperature process control system for selenium-enriched slag drying intensively by using IMDRDWM were carried out systematically, indicating the reliability and effectiveness of control design. The parameters of proposed control design are all on-line implemented without iterative predictive calculations, and the closed-loop system stability is guaranteed, which makes the developed scheme simpler in its synthesis and application, providing the practical guidelines for the control implementation and the parameter design.展开更多
The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial...The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial neurons have the adaptive, parallel processing, selflearning learning, and mare fault-tolerant characteristics. When the artificial neurons are used to control the process, the syste^n will enabled to en-sure that the accused has strong anti-interference capability and ro. bustness.展开更多
超声电机具有明显的非线性和时变特性。为提高其控制性能,神经网络等复杂控制策略已被提出,但这些方法计算复杂,导致系统硬件成本提高,不利于超声电机的产业化应用。为得到计算量较小且具有较高控制性能的控制策略,通过对超声电机典型...超声电机具有明显的非线性和时变特性。为提高其控制性能,神经网络等复杂控制策略已被提出,但这些方法计算复杂,导致系统硬件成本提高,不利于超声电机的产业化应用。为得到计算量较小且具有较高控制性能的控制策略,通过对超声电机典型控制过程的理论分析与转速控制实验研究,提出一种仅有2条专家规则的简单专家比例–积分–微分(proportional integral derivative,PID)控制方法。专家规则根据当前控制状况,调节PID控制参数,改善控制性能。与常规PID控制相比,所提方法的在线计算量增加不大,易于采用单片机等器件实现。多种变化工况下的实验表明,所提方法对超声电机特性变化及负载扰动的适应能力强,控制效果较好,为超声电机的规模化应用提供了一种可选的控制方法。展开更多
基金Project(51090385) supported by the Major Program of National Natural Science Foundation of ChinaProject(2011IB001) supported by Yunnan Provincial Science and Technology Program,China+1 种基金Project(2012DFA70570) supported by the International Science & Technology Cooperation Program of ChinaProject(2011IA004) supported by the Yunnan Provincial International Cooperative Program,China
文摘The control design, based on self-adaptive PID with genetic algorithms(GA) tuning on-line was investigated, for the temperature control of industrial microwave drying rotary device with the multi-layer(IMDRDWM) and with multivariable nonlinear interaction of microwave and materials. The conventional PID control strategy incorporated with optimization GA was put forward to maintain the optimum drying temperature in order to keep the moisture content below 1%, whose adaptation ability included the cost function of optimization GA according to the output change. Simulations on five different industrial process models and practical temperature process control system for selenium-enriched slag drying intensively by using IMDRDWM were carried out systematically, indicating the reliability and effectiveness of control design. The parameters of proposed control design are all on-line implemented without iterative predictive calculations, and the closed-loop system stability is guaranteed, which makes the developed scheme simpler in its synthesis and application, providing the practical guidelines for the control implementation and the parameter design.
文摘The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial neurons have the adaptive, parallel processing, selflearning learning, and mare fault-tolerant characteristics. When the artificial neurons are used to control the process, the syste^n will enabled to en-sure that the accused has strong anti-interference capability and ro. bustness.
文摘超声电机具有明显的非线性和时变特性。为提高其控制性能,神经网络等复杂控制策略已被提出,但这些方法计算复杂,导致系统硬件成本提高,不利于超声电机的产业化应用。为得到计算量较小且具有较高控制性能的控制策略,通过对超声电机典型控制过程的理论分析与转速控制实验研究,提出一种仅有2条专家规则的简单专家比例–积分–微分(proportional integral derivative,PID)控制方法。专家规则根据当前控制状况,调节PID控制参数,改善控制性能。与常规PID控制相比,所提方法的在线计算量增加不大,易于采用单片机等器件实现。多种变化工况下的实验表明,所提方法对超声电机特性变化及负载扰动的适应能力强,控制效果较好,为超声电机的规模化应用提供了一种可选的控制方法。
