This paper briefly introduces the characteristics of structure and optimum design of the hardware of the expert PID control system on temperature and humidity verifying box.Combined Microcontroller technology with exp...This paper briefly introduces the characteristics of structure and optimum design of the hardware of the expert PID control system on temperature and humidity verifying box.Combined Microcontroller technology with expert PID control technology and with regular construction of temperature-humidity expert control system,the paper sets up the expert control rules,as well as a subset of control flow.展开更多
Considering the temperature difference of displacement cooking characterized by severe non-linearity, large time delay, and real-time control, a cascade PID adaptive control strategy composed of a single neuron is pro...Considering the temperature difference of displacement cooking characterized by severe non-linearity, large time delay, and real-time control, a cascade PID adaptive control strategy composed of a single neuron is proposed to ensure cooking temperature uniformity. The control strategy introduces expert experiences to adjust the single neuron gain K, while a single neuron PID self-learning and adaptive ability, as well as cascade advantage can be combined to realize the real-time and fast temperature difference control. In the Simulink, the s-function of this control strategy is used to carry out a dynamic simulation experiment with temperature difference characteristics and verify the robustness and response to model mismatch. Compared to conventional temperature difference-flow PID cascade control and single neuron PID cascade control, this control strategy has better robustness and stronger adaptability. The results of real-time control on the THJSK-1 experiment platform indicate this control strategy is feasible.展开更多
a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic...a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.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
文摘This paper briefly introduces the characteristics of structure and optimum design of the hardware of the expert PID control system on temperature and humidity verifying box.Combined Microcontroller technology with expert PID control technology and with regular construction of temperature-humidity expert control system,the paper sets up the expert control rules,as well as a subset of control flow.
文摘Considering the temperature difference of displacement cooking characterized by severe non-linearity, large time delay, and real-time control, a cascade PID adaptive control strategy composed of a single neuron is proposed to ensure cooking temperature uniformity. The control strategy introduces expert experiences to adjust the single neuron gain K, while a single neuron PID self-learning and adaptive ability, as well as cascade advantage can be combined to realize the real-time and fast temperature difference control. In the Simulink, the s-function of this control strategy is used to carry out a dynamic simulation experiment with temperature difference characteristics and verify the robustness and response to model mismatch. Compared to conventional temperature difference-flow PID cascade control and single neuron PID cascade control, this control strategy has better robustness and stronger adaptability. The results of real-time control on the THJSK-1 experiment platform indicate this control strategy is feasible.
文摘a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.
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。
