Figure 1.8 Crane-based vertical motion control system schematic.
Source: Adapted from Kaltjob P.
Figure 1.9 (a) Block diagram of the crane motion feedback control system. (b) Logic control connections of the crane motion feedback control system.
Example 1.6
Here, a milky beverage processing factory is illustrated in Figure 1.10. In a process of such scale, a supervisory, control, and data acquisition system (SCADA) is used to collect plant-wide data through an industrial network to archive and to ensure the execution of derived process sequences. The equivalent block diagram depicting the relevant components of such SCADA-oriented process control system is presented in Figure 1.11.
Figure 1.10 Milk-based beverage processing factory schematic.
Source: Based on Kaltjob P.
Figure 1.11 Block diagram with SCADA components for a milk-based beverage processing system.
Source: Based on Kaltjob P.
1.5 Controller Design Integration Steps and Implementation Strategies
Mechatronic systems and processes are systems embedding automatic information processing functions such as for reporting, better performance and control, and safe operation. Such functions are implemented using various control strategies through advanced control design algorithms, along with associated smart actuating or sensing devices. Because a combination of control strategies is commonly used and operated simultaneously, it is necessary to develop a design methodology to integrate control strategies with information-driven processing functions to ensure near-optimal performance under various functionalities and safe operating conditions. In addition, the control system must combine digital logic sequential control with continuous control to ensure a synergetic effect on the operation of the mechatronic system. This is usually encapsulated in an automation software solution associated with solid state computing devices (power electronics).
Furthermore, the control architecture of the mechatronic system could use either decentralized control systems, DCSs, hybrid control systems, monitoring and control systems, fault-tolerant control systems, and embedded control systems. Hence, some of them are expected to require remote and synchronization tools through data transmission and acquisition tools to ensure the coordination between operating entities as well between mechatronic system components. Recalling that any mechatronic system is by its design a combination of electrical, mechanical, and information processing technology, the control solution of a mechatronic system could combine: (i) built-in intelligence; (ii) real-time programming; and (iii) multifunctional operating characteristics. For example, this could result in higher service productivity, quality, and reliability (e.g. reduced failure rate), by embedding intelligent, self-correcting sensory feedback systems. Thus an integrated approach is suitable for the control of any multi-functional mechatronic system.
Regarding mechatronic systems and processes, three main types of integrating control design strategy can be considered: (i) spatial and structural integration; (ii) functional integration; and (iii) performance-based integration. Here, this textbook focuses on control design integration related to information processing (i.e. advanced control function along with monitoring and diagnostic features). As such, in order to achieve an efficient controlled mechatronic system, any control design project steps must encompass a coherent synergy of selection and design effort between a mechatronic system and process components (actuating, sensing and data acquisition, control systems, and computing unit) under technically complex operating requirements. A project related to control system design or migration has either:
1 time-based objectives, such as improving service or productivity through an enhancement of mechatronic system functions;
2 cost-based objectives, such as reducing the cost of system operation (e.g. energy reduction) or service by improving the performance of the controlled mechatronic systems;
3 quality-based objectives, such as improving system operations efficiency or service reliability through the enhancement of control functions for mechatronic systems;
4 a combination of control system design objectives, such as delivering new services or products, replacing or extending them; or
5 monitoring and analysis objectives to be integrated into the mechanism system design.
To fulfill these objectives, the major project steps in control system design are:
1 Preliminary studies based on mechatronic system and process schematics.
2 Performance technical audit:performance assessment;performance objectives and controller specifications.
3 Functional analysis and modeling:FAST decomposition method;operating conditions and discrete time modeling;startup and shutdown sequence relationship diagram;operating description and discrete event formal modeling.
4 Hybrid controller and digital system design:continuous controller algorithm;logic controller software design;storage requirement assessment (memory size etc.), control system throughput, user interface requirements;controller hardware design (control panel design and layout, instrumentation system design and layout);logic controller circuitry design (distribution and control architecture).
5 Controller solution execution and commissioning:control feedback variable tuning;operation monitoring under failure modes;operation validation based on control system test protocol;personnel training;deployment.
Those steps could be summarized as shown in Figure 1.12. Activities related to control design or migration projects are expected to provide specific mechatronic system control documentation such as:
1 Mechatronic system and process diagrams, especially:process flow (PF) and piping and instrumentation (P&I) drawings based on the mechatronic system description, if possible;cabling and wiring diagrams (power distribution schemes, data cable routing and cable diagrams, instrument