Controllable saturation reactors are widely used in reactive power compensation. The control system of controllable saturation reactor determines adaption speed, accuracy, and stability. First, an innovative type of c...Controllable saturation reactors are widely used in reactive power compensation. The control system of controllable saturation reactor determines adaption speed, accuracy, and stability. First, an innovative type of controllable saturation reactor is introduced. After that the control system is designed, and a self-tuning algorithm in PID controller is proposed in the paper. The algorithm tunes PID parameters automatically with different error signals caused by varied loads in power system. Then the feasibility of the above algorithm is verified by Simulink module of Matlab software. The results of simulation indicate that the control system can efficiently reduce adaption time and overshoot.展开更多
供、回水压差对于空调一次泵变流量冷冻水系统(Primary Pump Variable Flow System of Air-Conditioning Chilled Water,ACCW-PPVFS)的水力平衡和适应空调用户侧冷负荷的动态变化是至关重要的。目前,其较多采用整数阶PID调节方式,这会...供、回水压差对于空调一次泵变流量冷冻水系统(Primary Pump Variable Flow System of Air-Conditioning Chilled Water,ACCW-PPVFS)的水力平衡和适应空调用户侧冷负荷的动态变化是至关重要的。目前,其较多采用整数阶PID调节方式,这会导致出现供、回水压差的稳态误差、超调量较大和振荡过度等问题。鉴于此,本文提出了ACCW-PPVFS供、回水压差的分数阶PID(PI^(λ)D^(μ))分级调节方式和改进的生物地理学优化算法(Modified Biogeography-Based Optimization Algorithm,MBBOA)进行相应PIλDμ控制器参数整定的设计理念。首先,综合空调工艺要求和自动控制理论,对该ACCW-PPVFS供、回水压差控制系统中的各个环节,如供、回水压差被控对象、供、回水压差PI^(λ)D^(μ)控制器(Fractional Order PID Controller for Pressure Difference between Supply and Return Water,PDSRW-FOPIDC)、变频水泵和旁通水流量执行器等建立传递函数。其次,通过对生物地理学优化算法中的迁移因子(Migration Factor)φ进行线性递减改变,构建出MBBOA,且对该PDSRW-FOPIDC参数进行整定,获取5个参数最优值。同时,采取分级控制策略,分别对一次泵和分、集水器之间的旁通执行器进行变频和旁通流量qbypass的调节,以适应空调用户侧负荷的大、小需求和保证供、回水压差ΔP等于其设定值ΔPset。最后,借助MATLAB中的Simulink工具,对该供、回水压差PI^(λ)D^(μ)控制系统进行组态和数值仿真。结果表明:基于MBBOA的供、回水压差PI^(λ)D^(μ)控制器参数整定和该供、回水压差PI^(λ)D^(μ)控制系统在理论上是可行的,可适应空调用户侧冷负荷的动态变化,且满足ΔP=ΔPset空调工艺的相关要求和维持水力平衡。展开更多
文摘Controllable saturation reactors are widely used in reactive power compensation. The control system of controllable saturation reactor determines adaption speed, accuracy, and stability. First, an innovative type of controllable saturation reactor is introduced. After that the control system is designed, and a self-tuning algorithm in PID controller is proposed in the paper. The algorithm tunes PID parameters automatically with different error signals caused by varied loads in power system. Then the feasibility of the above algorithm is verified by Simulink module of Matlab software. The results of simulation indicate that the control system can efficiently reduce adaption time and overshoot.
文摘供、回水压差对于空调一次泵变流量冷冻水系统(Primary Pump Variable Flow System of Air-Conditioning Chilled Water,ACCW-PPVFS)的水力平衡和适应空调用户侧冷负荷的动态变化是至关重要的。目前,其较多采用整数阶PID调节方式,这会导致出现供、回水压差的稳态误差、超调量较大和振荡过度等问题。鉴于此,本文提出了ACCW-PPVFS供、回水压差的分数阶PID(PI^(λ)D^(μ))分级调节方式和改进的生物地理学优化算法(Modified Biogeography-Based Optimization Algorithm,MBBOA)进行相应PIλDμ控制器参数整定的设计理念。首先,综合空调工艺要求和自动控制理论,对该ACCW-PPVFS供、回水压差控制系统中的各个环节,如供、回水压差被控对象、供、回水压差PI^(λ)D^(μ)控制器(Fractional Order PID Controller for Pressure Difference between Supply and Return Water,PDSRW-FOPIDC)、变频水泵和旁通水流量执行器等建立传递函数。其次,通过对生物地理学优化算法中的迁移因子(Migration Factor)φ进行线性递减改变,构建出MBBOA,且对该PDSRW-FOPIDC参数进行整定,获取5个参数最优值。同时,采取分级控制策略,分别对一次泵和分、集水器之间的旁通执行器进行变频和旁通流量qbypass的调节,以适应空调用户侧负荷的大、小需求和保证供、回水压差ΔP等于其设定值ΔPset。最后,借助MATLAB中的Simulink工具,对该供、回水压差PI^(λ)D^(μ)控制系统进行组态和数值仿真。结果表明:基于MBBOA的供、回水压差PI^(λ)D^(μ)控制器参数整定和该供、回水压差PI^(λ)D^(μ)控制系统在理论上是可行的,可适应空调用户侧冷负荷的动态变化,且满足ΔP=ΔPset空调工艺的相关要求和维持水力平衡。
