Digital Control Systems Waseem Gulsher

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Presentation transcript:

Digital Control Systems Waseem Gulsher BS (Evening) 25 Sep, 17 Automatic Aircraft Landing System Lecture – 3 Digital Control Systems Waseem Gulsher

Automatic Aircraft Landing System (Example)

Automatic Aircraft Landing System The automatic aircraft landing system is depicted in figure below.

Automatic Aircraft Landing System The system consists of three basic parts. The aircraft The radar unit The controlling unit During the operation of this control system, the radar unit measures the approximate vertical and the lateral positions of the aircraft, which are then transmitted to the controlling unit. From these measurements, the controlling unit calculates approximate pitch and bank command.

Automatic Aircraft Landing System These commands are then transmitted to the aircraft autopilots, which in turn causes the aircraft to respond accordingly. In figure, controlling unit is a digital computer. The lateral control systems, which controls the lateral position of the aircraft, and the vertical control system, which controls the altitude of the aircraft, are independent (decoupled). Thus, the bank command input effects only the lateral position of the aircraft and the pitch command input effects only the altitude of aircraft.

Lateral Control System Block diagram of lateral control system.

Lateral Control System Block diagram of lateral control system.

Lateral Control System The aircraft lateral position, y(t), is the lateral distance of the aircraft from the extended center line of the runway. The control system attempts to force y(t) to zero. The radar unit measures y(t) every 0.05 sec. Thus, y(kT) is the sampled value of y(t) with T=0.05 sec and k=0,1,2,3,……

Lateral Control System The digital controller processes these sampled values and generates the discrete bank commands ϕ(kT). The data hold, which is on board the aircraft, clamps the bank command ϕ(t) constant at the last value received until the next value is received. Then the bank command is held constant at the new value until the following value is received.

Lateral Control System Thus the bank command is updated every T=0.05 second, which is called the sampled period. The aircraft responds to the bank command, which changes the lateral position y(t).

Disturbances Two additional inputs are shown in previous figure. These are unwanted inputs called disturbances, and always preferred not to exist. The first, w(t), is the wind input which certainly effects the position of the aircraft. The second disturbance input, labeled radar noise, is present since the radar cannot measure the exact position of the aircraft.

Disturbances The noise is the difference between the exact aircraft position and the measured position. Sensor noise is always present in a control system, since no sensor is perfect. The design problem for this system is to maintain y(t) small in the presence of the wind and radar-noise disturbances. In addition, plane must respond in a manner that both is acceptable to the pilot and does not unduly stress the structure of the aircraft.

Disturbances To effect the design, it is necessary to know the mathematical relationships between the wind input w(t), the bank command input ϕ(t), and the lateral position y(t). These mathematical relationships are referred to as the mathematical model, simply the model, of the aircraft. For example, for the McDonnell-Douglas corporation F4 aircraft, the model of the lateral systems is ninth-order ordinary non-linear differential equation.

Disturbances For the case, the bank command ϕ(t) remains small in amplitude, the nonlinearities are not excited and the system model is a ninth-order ordinary differential equation. The task of the control system designer is to specify the processing to be accomplished in the digital controller. This processing will be a function of the ninth- order aircraft model, the expected wind input, the radar noise, the time period T, and the desired response characteristics. (This model is complex, so some simple models will be discussed in this course).

The Control Problem

The Control Problem A physical system or process can be accurately controlled through controlled loop, or feedback operation. An output variable (signal), called the response, is adjusted as required by an error signal. The error signal is a measure of error difference between the system response, as determined by a sensor, and the desired response.

The Control Problem Generally, a controller, or filter, is required to process the error signal in order that certain criteria, or specifications, will be satisfied. The criteria may involve, but not limited to: Disturbance rejection Steady-state errors Transient response Sensitivity to parameter changes in the plant

The Control Problem Solving the control problem will generally involve: Choosing sensors to measure the required feedback signals Choosing actuators to drive the plant Developing the plant, sensor, and actuator models (equations) Designing the controller, based on the developed models and the control criteria. Evaluating the design analytically, by simulation, and finally by testing the physical system Iterating this procedure until a satisfactory physical-system response results.

The Control Problem Because of inaccuracies in mathematical models, the initial tests on physical systems may not be satisfactory. Figure 1-4 illustrates the relationship of mathematical analysis and design to physical system design procedures. In the figure, the emphasis is necessarily on the conceptual part of the procedure – the application of mathematical concepts to mathematical models.

The Control Problem

The Control Problem In practical design situations, however, the major difficulties are in formulating the problem mathematically and in translating the mathematical solution back to the physical world. Many iterations of the procedures shown in the figure 1-4 are usually required in the practical situations.

Thank You