城市污水处理过程中,降低能耗具有重要意义。基于污水处理1号基准模型(Benchmark Simulation Model No.1,BSM1),设计5组线性自抗扰控制方案,获得了针对污水处理过程的线性自抗扰控制的有效参数整定方法;同时,根据活性污泥法工艺,确定影...城市污水处理过程中,降低能耗具有重要意义。基于污水处理1号基准模型(Benchmark Simulation Model No.1,BSM1),设计5组线性自抗扰控制方案,获得了针对污水处理过程的线性自抗扰控制的有效参数整定方法;同时,根据活性污泥法工艺,确定影响污水处理水质和能耗的主要因素,并分析了各种控制方案下的出水水质和能耗,获得了污水处理的优化控制方案。仿真结果表明,在保证出水水质指标的前提下,利用线性自抗扰控制方法合理控制污水处理工艺中的硝化和反硝化反应可有效降低污水处理的能耗,为工程应用提供了思路。展开更多
Waste water treatment process(WWTP)control has been attracting more and more attention.However,various undesired factors,such as disturbance,uncertainties,and strong nonlinear couplings,propose big challenges to the c...Waste water treatment process(WWTP)control has been attracting more and more attention.However,various undesired factors,such as disturbance,uncertainties,and strong nonlinear couplings,propose big challenges to the control of a WWTP.In order to improve the control performance of the closed-loop system and guarantee the discharge requirements of the effluent quality,rather than take the model dependent control approaches,an active disturbance rejection control(ADRC)is utilized.Based on the control signal and system output,a phase optimized ADRC(POADRC)is designed to control the dissolved oxygen and nitrate concentration in a WWTP.The phase advantage of the phase optimized extended state observer(POESO),convergence of the POESO,and stability of the closed-loop system are analyzed from the theoretical point of view.Finally,a commonly accepted benchmark simulation model no.1.(BSM1)is utilized to test the POESO and POADRC.Linear active disturbance rejection control(LADRC)and the suggested proportion-integration(PI)control are taken to make a comparative research.Both system responses and performance index values confirm the advantage of the POADRC over the LADRC and the suggested PI control.Numerical results show that,as a result of the leading phase of the total disturbance estimation,the POESO based POADRC is an effective and promising way to control the dissolved oxygen and nitrate concentration so as to ensure the effluent quality of a WWTP.展开更多
污水处理过程的生产条件恶劣,随机干扰严重,具有强非线性、时变、大滞后等特点,难以建立精确的数学模型。结合污水脱氮过程的特征,提出了采用高斯过程回归(Gaussian process Regression)算法建立复杂工业过程软测量方法。采用了污水处...污水处理过程的生产条件恶劣,随机干扰严重,具有强非线性、时变、大滞后等特点,难以建立精确的数学模型。结合污水脱氮过程的特征,提出了采用高斯过程回归(Gaussian process Regression)算法建立复杂工业过程软测量方法。采用了污水处理厂控制策略的国际评价基准(Benchmark)作为潜在数据模型。经实验证明,高斯过程回归软测量方法具有较高的测量精度,能够较好的满足工业现场对测量可靠性的要求。展开更多
污水处理过程复杂多样,为方便研究工作,针对国际水协会(IWA)和欧盟科学技术合作组织(COST)两个组织合力开发的基准仿真1号模型(Benchmark Simulation Model no.1,BSM1)进行建模。由于基准仿真1号模型由ASM1活性污泥模型与Takács双...污水处理过程复杂多样,为方便研究工作,针对国际水协会(IWA)和欧盟科学技术合作组织(COST)两个组织合力开发的基准仿真1号模型(Benchmark Simulation Model no.1,BSM1)进行建模。由于基准仿真1号模型由ASM1活性污泥模型与Takács双指数沉淀模型组成,对这两种模型进行介绍之后,在MATLAB软件中进行模块的搭建并仿真。通过仿真结果与国际水协会提供的数据对比一致,证明仿真模型可行。最后运用PI控制器对不同天气情况下好氧池中溶氧量进行控制,使其趋于稳定。展开更多
文摘城市污水处理过程中,降低能耗具有重要意义。基于污水处理1号基准模型(Benchmark Simulation Model No.1,BSM1),设计5组线性自抗扰控制方案,获得了针对污水处理过程的线性自抗扰控制的有效参数整定方法;同时,根据活性污泥法工艺,确定影响污水处理水质和能耗的主要因素,并分析了各种控制方案下的出水水质和能耗,获得了污水处理的优化控制方案。仿真结果表明,在保证出水水质指标的前提下,利用线性自抗扰控制方法合理控制污水处理工艺中的硝化和反硝化反应可有效降低污水处理的能耗,为工程应用提供了思路。
基金supported by the Key program of Beijing Municipal Education Commission(KZ201810011012)National Natural Science Foundation of China(61873005)Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Fiveyear Plan(CIT&TCD201704044)。
文摘Waste water treatment process(WWTP)control has been attracting more and more attention.However,various undesired factors,such as disturbance,uncertainties,and strong nonlinear couplings,propose big challenges to the control of a WWTP.In order to improve the control performance of the closed-loop system and guarantee the discharge requirements of the effluent quality,rather than take the model dependent control approaches,an active disturbance rejection control(ADRC)is utilized.Based on the control signal and system output,a phase optimized ADRC(POADRC)is designed to control the dissolved oxygen and nitrate concentration in a WWTP.The phase advantage of the phase optimized extended state observer(POESO),convergence of the POESO,and stability of the closed-loop system are analyzed from the theoretical point of view.Finally,a commonly accepted benchmark simulation model no.1.(BSM1)is utilized to test the POESO and POADRC.Linear active disturbance rejection control(LADRC)and the suggested proportion-integration(PI)control are taken to make a comparative research.Both system responses and performance index values confirm the advantage of the POADRC over the LADRC and the suggested PI control.Numerical results show that,as a result of the leading phase of the total disturbance estimation,the POESO based POADRC is an effective and promising way to control the dissolved oxygen and nitrate concentration so as to ensure the effluent quality of a WWTP.
文摘污水处理过程的生产条件恶劣,随机干扰严重,具有强非线性、时变、大滞后等特点,难以建立精确的数学模型。结合污水脱氮过程的特征,提出了采用高斯过程回归(Gaussian process Regression)算法建立复杂工业过程软测量方法。采用了污水处理厂控制策略的国际评价基准(Benchmark)作为潜在数据模型。经实验证明,高斯过程回归软测量方法具有较高的测量精度,能够较好的满足工业现场对测量可靠性的要求。
文摘污水处理过程复杂多样,为方便研究工作,针对国际水协会(IWA)和欧盟科学技术合作组织(COST)两个组织合力开发的基准仿真1号模型(Benchmark Simulation Model no.1,BSM1)进行建模。由于基准仿真1号模型由ASM1活性污泥模型与Takács双指数沉淀模型组成,对这两种模型进行介绍之后,在MATLAB软件中进行模块的搭建并仿真。通过仿真结果与国际水协会提供的数据对比一致,证明仿真模型可行。最后运用PI控制器对不同天气情况下好氧池中溶氧量进行控制,使其趋于稳定。
