Plant-wide predictive control for a thermal power plant based on a physical plant model

A constrained non-linear, physical model-based, predictive control (NPMPC) strategy is developed for improved plant-wide control of a thermal power plant. The strategy makes use of successive linearisation and recursive state estimation using extended Kalman filtering to obtain a linear state-space model. The linear model and a quadratic programming routine are used to design a constrained long-range predictive controller One special feature is the careful selection of a specific set of plant model parameters for online estimation, to account for time-varying system characteristics resulting from major system disturbances and ageing. These parameters act as nonstationary stochastic states and help to provide sufficient degrees-of-freedom to obtain unbiased estimates of controlled outputs. A 14th order non-linear plant model, simulating the dominant characteristics of a 200 MW oil-fired pou er plant has been used to test the NPMPC algorithm. The control strategy gives impressive simulation results, during large system disturbances and extremely high rate of load changes, right across the operating range. These results compare favourably to those obtained with the state-space GPC method designed under similar conditions.

The Politics of Actually Existing Unsustainability:Human Flourishing in a Climate-Changed, Carbon-Constrained World

Going against both the naive techno-optimist of ‘greening business as usual’ and a resurgent ‘catastrophism’ within green thinking and politics, The Politics of Actually Existing Unsustainability offers an analysis of the causes of unsustainability and diminished human flourishing. The books locates the causes of unsustainability in dominant capitalist modes of production, debt-based consumer culture, the imperative for orthodox economic growth and the dominant ideology of neoclassical economics. It suggests that valuable insights into the causes of and alternatives to unsustainability can be found in a critical embracing of human vulnerability and dependency as both constitutive and ineliminable aspects of what it means to be human. The book defends resilience, the ability to ‘cope with’ rather than somehow ‘solve’ vulnerability. The book offers a trenchant critique of the dominant neoclassical economic ‘groupthink’, viewing it not as some value-neutral form of ‘expert knowledge’, but as a thoroughly ideological ‘common sense’. Outlining a green political economic alternative replacing economic growth with economic security, it argues economic growth has done its work in the minority, affluent world, which should now focus on improving human flourishing, lowering socio-economic equality and fostering solidarity as part of a new re-orientation of public policy. Complementing this, a, ‘green republicanism’ is developed as an innovative and original contribution to contemporary debates on a ‘post-growth’ economy and society. The Politics of Actually Existing Unsustainability draws widely from a range of disciplines and thinkers, from cultural critic Susan Sontag to the critical theory of the Frankfurt School, contemporary debates in green political thinking, and the latest thinking in heterodox and green economics, to produce a highly relevant, timely, and provocatively original statement on the human predicament in the twenty-first century.

Random neighbor sandpile model with constrained total energy

We propose as energy-constrained sandpile model with random neighbors. The critical behavior of the model is in the same universality class as the mean-field self-organized criticality sandpile. The critical energy E-c depends on the number of neighbors n of each site, but the various exponents do not. For n = 6, we got that E-c = 0.4545; and a self-similar structure of the energy distribution function with five major peaks is also observed. This is a natural result of system dynamics and the way the system is disturbed.

Universality and self-similarity of an energy-constrained sandpile model with random neighbors

We study an energy-constrained sandpile model with random neighbors. The critical behavior of the model is in the same universality class as the mean-field self-organized criticality sandpile. The critical energy E-c depends on the number of neighbors n for each site, but the various exponents are independent of n. A self-similar structure with n-1 major peaks is developed for the energy distribution p(E) when the system approaches its stationary state. The avalanche dynamics contributes to the major peaks appearing at E-Pk = 2k/(2n - 1) with k = 1,2,...,n-1, while the fine self-similar structure is a natural result of the way the system is disturbed. [S1063-651X(99)10307-6].

Position control of shape memory alloy actuators using self tuning fuzzy PID controller

Shape Memory Alloy (SMA) actuators, which have the ability to return to a predetermined shape when heated, have many potential applications such as aeronautics, surgical tools, robotics and so on. Although the conventional PID controller can be used with slow response systems, there has been limited success in precise motion control of SMA actuators, since the systems are disturbed by unknown factors beside their inherent nonlinear hysteresis and changes in the surrounding environment of the systems. This paper presents a new development of a SMA position control system by using a self-tuning fuzzy PID controller. This control algorithm is used by tuning the parameters of the PID controller thereby integrating fuzzy inference and producing a fuzzy adaptive PID controller, which can then be used to improve the control performance of nonlinear systems. The experimental results of position control of SMA actuators using conventional and self-tuning fuzzy PID controllers are both included in this paper.